{ "_id": "6a212c4ccd65a98ecbd237f1", "Package": "Rfast", "Type": "Package", "Title": "A Collection of Efficient and Extremely Fast R Functions", "Version": "2.1.5.2", "Date": "2025-10-10", "Authors@R": "c(\nperson(\"Manos Papadakis\", email = \"rfastofficial@gmail.com\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(\"Michail Tsagris\", role = c(\"aut\")),\nperson(\"Marios Dimitriadis\", role = c(\"aut\")),\nperson(\"Stefanos Fafalios\", role = c(\"aut\")),\nperson(\"Matteo Fasiolo\", role = c(\"aut\")),\nperson(\"Morgan Jacob\", role = c(\"ctb\")),\nperson(\"Giorgos Borboudakis\", role = c(\"aut\")),\nperson(\"John Burkardt\", role = c(\"aut\")),\nperson(\"Changliang Zou\", role = c(\"aut\"))\n)", "Maintainer": "Manos Papadakis ", "SystemRequirements": "C++17", "BugReports": "https://github.com/RfastOfficial/Rfast/issues", "URL": "https://github.com/RfastOfficial/Rfast", "Description": "A collection of fast (utility) functions for data\nanalysis. Column and row wise means, medians, variances,\nminimums, maximums, many t, F and G-square tests, many\nregressions (normal, logistic, Poisson), are some of the many\nfast functions. References: a) Tsagris M., Papadakis M. (2018).\nTaking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1\n. b) Tsagris M. and\nPapadakis M. (2018). Forward regression in R: from the extreme\nslow to the extreme fast. Journal of Data Science, 16(4):\n771--780. . c)\nChatzipantsiou C., Dimitriadis M., Papadakis M. and Tsagris M.\n(2020). Extremely Efficient Permutation and Bootstrap\nHypothesis Tests Using Hypothesis Tests Using R. Journal of\nModern Applied Statistical Methods, 18(2), eP2898.\n. d) Tsagris M., Papadakis M.,\nAlenazi A. and Alzeley O. (2024). Computationally Efficient\nOutlier Detection for High-Dimensional Data Using the MDP\nAlgorithm. Computation, 12(9): 185.\n. e) Tsagris M. and Papadakis\nM. (2025). Fast and light-weight energy statistics using the R\npackage Rfast. .", "License": "GPL (>= 2.0)", "Config/pak/sysreqs": "make", "Repository": "https://fastverse.r-universe.dev", "Date/Publication": "2025-10-10 16:08:23 UTC", "RemoteUrl": "https://github.com/RfastOfficial/Rfast", "RemoteRef": "HEAD", "RemoteSha": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-04 07:16:45 UTC", "User": "root" }, "Author": "Manos Papadakis [aut, cre, cph],\nMichail Tsagris [aut],\nMarios Dimitriadis [aut],\nStefanos Fafalios [aut],\nMatteo Fasiolo [aut],\nMorgan Jacob [ctb],\nGiorgos Borboudakis [aut],\nJohn Burkardt [aut],\nChangliang Zou [aut]", "MD5sum": "93b49e9a6be80ebca412a7835d06f9da", "_user": "fastverse", "_type": "src", "_file": "Rfast_2.1.5.2.tar.gz", "_fileid": "51cc7eddf30777f015618544dcd5a8a56e2fb8733f20a1e2afcdb769ebda7f52", "_filesize": 1292652, "_sha256": "51cc7eddf30777f015618544dcd5a8a56e2fb8733f20a1e2afcdb769ebda7f52", "_created": "2026-06-04T07:16:45.000Z", "_published": "2026-06-04T07:42:04.189Z", "_distro": "noble", "_jobs": [ { "job": 79469792417, "time": 527, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7405557868" }, { "job": 79469792452, "time": 498, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7405548813" }, { "job": 79469792425, "time": 582, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7405574261" }, { "job": 79469792432, "time": 494, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7405547583" }, { "job": 79469792477, "time": 501, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7405575957" }, { "job": 79469792454, "time": 889, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "7405729977" }, { "job": 79469792456, "time": 288, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7405548476" }, { "job": 79469792433, "time": 749, "config": "macos-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7405668754" }, { "job": 79467653654, "time": 933, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7405406668" }, { "job": 79469792394, "time": 466, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7405539310" }, { "job": 79469792406, "time": 871, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7405660229" }, { "job": 79469792399, "time": 801, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7405639312" }, { "job": 79469792398, "time": 779, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7405632971" } ], "_buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/RfastOfficial/Rfast", "_commit": { "id": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "author": "Manos Papadakis ", "committer": "Manos Papadakis ", "message": "Squashed commit of the following:\n\ncommit 4151910faf4d1a2333b7ccbbb837f42c8e61d44b\nAuthor: Manos Papadakis \nDate: Fri Oct 10 17:16:57 2025 +0300\n\n add\n\ncommit f3ccee6c6cac9f068b9a51a05ce76265cc60ef76\nAuthor: Manos Papadakis \nDate: Fri Oct 10 17:16:52 2025 +0300\n\n add a small code for rfasrt2\n\ncommit 275603344cc97ea34daabf8c3b8d4a57be8a5413\nAuthor: Manos Papadakis \nDate: Fri Oct 10 17:16:34 2025 +0300\n\n Update DESCRIPTION\n\ncommit 4309825f38c07d83b706c7662c8e0b700dc09a71\nMerge: 8480608 a137753\nAuthor: Manos Papadakis \nDate: Fri Oct 10 14:48:59 2025 +0300\n\n Merge branch 'Dev' of https://github.com/RfastOfficial/Rfast into Dev\n\ncommit a137753a7cb74c84b03230027e48205b60efef17\nAuthor: Michail Tsagris \nDate: Fri Oct 10 14:35:10 2025 +0300\n\n change\n\ncommit 8480608fbd226db2816dc9d138b359223bbd410e\nAuthor: Manos Papadakis \nDate: Wed Oct 8 14:03:43 2025 +0300\n\n Update DESCRIPTION\n\ncommit 4064fcc5226273a70179d83d46c893c52a74e3e6\nAuthor: Manos Papadakis \nDate: Wed Oct 8 14:03:40 2025 +0300\n\n Update .Rbuildignore\n\ncommit 29dc60be95ba134cdd285b732f291f1f18da875e\nAuthor: Manos Papadakis \nDate: Wed Oct 8 11:32:49 2025 +0300\n\n add\n\ncommit 7f8db5cccce32b448a260b823be37be0b699fe4a\nAuthor: Manos Papadakis \nDate: Wed Oct 8 11:31:56 2025 +0300\n\n Update col_statistical.cpp\n\ncommit 6ff8edc460d1667f8e053cad59eeac0246a46869\nMerge: 35d85f9 ad138ca\nAuthor: Manos Papadakis \nDate: Tue Oct 7 15:14:48 2025 +0300\n\n Merge branch 'Dev' of https://github.com/RfastOfficial/Rfast into Dev\n\ncommit ad138caacdc1edf5f1b7cd3eecd92a068fca6a0a\nAuthor: Michail Tsagris \nDate: Tue Oct 7 15:14:21 2025 +0300\n\n change\n\ncommit 35d85f995ca8c3fea663527a1512b4e8e006459e\nAuthor: Manos Papadakis \nDate: Tue Oct 7 1", "time": 1760112503 }, "_maintainer": { "name": "Manos Papadakis", "email": "rfastofficial@gmail.com" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Rcpp", "version": ">= 0.12.3", "role": "Depends" }, { "package": "zigg", "role": "Depends" }, { "package": "RcppParallel", "role": "Depends" }, { "package": "Rcpp", "version": ">= 0.12.3", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "RcppParallel", "role": "LinkingTo" }, { "package": "zigg", "role": "LinkingTo" }, { "package": "philentropy", "role": "Suggests" } ], "_owner": "rfastofficial", "_selfowned": false, "_usedby": 214, "_updates": [ { "week": "2025-41", "n": 1 } ], "_tags": [], "_stars": 156, "_contributors": [ { "user": "manospapadakis95", "count": 777, "uuid": 56556949 }, { "user": "statlink", "count": 221, "uuid": 14017398 }, { "user": "stefanosfafalios", "count": 5, "uuid": 8421566 }, { "user": "bloodow", "count": 4, "uuid": 115893281 }, { "user": "dimim", "count": 4, "uuid": 5085358 }, { "user": "cyianor", "count": 1, "uuid": 404411 }, { "user": "jcrichstein", "count": 1, "uuid": 1485864 }, { "user": "kalibera", "count": 1, "uuid": 1734520 } ], "_userbio": { "uuid": 105517888, "type": "organization", "name": "fastverse", "description": "An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R" }, "_downloads": { "count": 25929, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Rfast" }, "_mentions": 5, "_devurl": "https://github.com/rfastofficial/rfast", "_searchresults": 1576, "_topics": [ "openblas", "cpp", "openmp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/Rfast.html", "manual.pdf" ], "_homeurl": "https://github.com/rfastofficial/rfast", "_realowner": "rfastofficial", "_cranurl": true, "_releases": [ { "version": "1.0", "date": "2016-07-10" }, { "version": "1.1", "date": "2016-07-31" }, { "version": "1.2", "date": "2016-08-03" }, { "version": "1.3", "date": "2016-08-09" }, { "version": "1.4", "date": "2016-10-09" }, { "version": "1.4.1", "date": "2016-10-09" }, { "version": "1.5", "date": "2016-10-10" }, { "version": "1.7", "date": "2016-12-01" }, { "version": "1.7.1", "date": "2016-12-03" }, { "version": "1.7.2", "date": "2016-12-14" }, { "version": "1.7.3", "date": "2016-12-18" }, { "version": "1.7.4", "date": "2017-02-22" }, { "version": "1.7.5", "date": "2017-02-26" }, { "version": "1.8.0", "date": "2017-05-11" }, { "version": "1.8.1", "date": "2017-05-15" }, { "version": "1.8.2", "date": "2017-07-21" }, { "version": "1.8.3", "date": "2017-09-21" }, { "version": "1.8.4", "date": "2017-09-23" }, { "version": "1.8.5", "date": "2017-11-13" }, { "version": "1.8.6", "date": "2017-11-17" }, { "version": "1.8.8", "date": "2018-03-10" }, { "version": "1.8.9", "date": "2018-05-06" }, { "version": "1.9.0", "date": "2018-05-14" }, { "version": "1.9.1", "date": "2018-07-20" }, { "version": "1.9.2", "date": "2018-11-09" }, { "version": "1.9.3", "date": "2019-03-05" }, { "version": "1.9.4", "date": "2019-05-25" }, { "version": "1.9.5", "date": "2019-07-12" }, { "version": "1.9.6", "date": "2019-11-15" }, { "version": "1.9.7", "date": "2019-11-24" }, { "version": "1.9.8", "date": "2019-12-12" }, { "version": "1.9.9", "date": "2020-03-09" }, { "version": "2.0.0", "date": "2020-08-31" }, { "version": "2.0.1", "date": "2020-09-14" }, { "version": "2.0.2", "date": "2021-05-13" }, { "version": "2.0.3", "date": "2021-05-18" }, { "version": "2.0.4", "date": "2021-12-03" }, { "version": "2.0.5", "date": "2022-02-14" }, { "version": "2.0.6", "date": "2022-02-16" }, { "version": "2.0.7", "date": "2023-02-16" }, { "version": "2.0.8", "date": "2023-07-03" }, { "version": "2.0.9", "date": "2023-10-30" }, { "version": "2.1.0", "date": "2023-11-09" }, { "version": "2.1.2", "date": "2024-12-21" }, { "version": "2.1.3", "date": "2024-12-31" }, { "version": "2.1.4", "date": "2025-01-17" }, { "version": "2.1.5", "date": "2025-02-27" }, { "version": "2.1.5.1", "date": "2025-03-14" }, { "version": "2.1.5.2", "date": "2025-10-10" } ], "_exports": [ "acg.mle", "AddToNamespace", "allbetas", "allttests", "ancova1", "ancovas", "anova_propreg", "anova_qpois.reg", "anova_quasipois.reg", "anova1", "anovas", "apply.condition", "ar1", "as_integer", "as.Rfast.function", "auc", "bc", "bcdcor", "beta.mle", "betabinom.mle", "betageom.mle", "betaprime.mle", "bic.corfsreg", "bic.fs.reg", "binary_search", "bincomb", "binom.mle", "block.anova", "block.anovas", "boot.ttest2", "borel.mle", "bs.reg", "btmprobs", "cat.goftests", "cauchy.mle", "check_data", "checkAliases", "checkExamples", "checkNamespace", "checkTF", "checkUsage", "chi2Test", "chi2Test_univariate", "chi2tests", "chisq.mle", "cholesky", "Choose", "circlin.cor", "coeff", "col.coxpoisrat", "col.yule", "colAll", "colanovas", "colAny", "colar1", "colaucs", "colCountValues", "colCumMaxs", "colCumMins", "colCumProds", "colCumSums", "colcvs", "coldiffs", "colexp2.mle", "colexpmle", "colFalse", "colgammamle", "colgeom.mle", "colhameans", "colinvgauss.mle", "colkurtosis", "collaplace.mle", "collindley.mle", "colMads", "colmaxboltz.mle", "colMaxs", "colmeans", "colMedians", "colMins", "colMinsMaxs", "colnormal.mle", "colnormlog.mle", "colnth", "colOrder", "colpareto.mle", "colPmax", "colPmin", "colpois.tests", "colpoisdisp.tests", "colpoisson.anovas", "colpoisson.mle", "colprods", "colquasipoisson.anovas", "colrange", "colRanks", "colrayleigh.mle", "colrint.regbx", "colrow.value", "colShuffle", "colskewness", "colSort", "colsums", "colTabulate", "colTrue", "colTrueFalse", "columns", "colvarcomps.mle", "colvarcomps.mom", "colVars", "colvm.mle", "colwatsons", "colweibull.mle", "comb_n", "cor.fbed", "cor.fsreg", "cora", "corpairs", "correls", "count_value", "cova", "cox.poisrat", "cqtest", "cqtests", "Crossprod", "ct.mle", "data.frame.to_matrix", "dcor", "dcor.ttest", "dcov", "design_matrix", "Diag.fill", "Diag.matrix", "Digamma", "diri.nr2", "dirimultinom.mle", "dirknn", "dirknn.cv", "Dist", "dista", "dmvnorm", "dmvt", "dvar", "eachcol.apply", "eachrow", "edist", "eel.test1", "eel.test2", "eigen.sym", "el.test1", "el.test2", "Elem", "Elem<-", "env.copy", "exact.ttest2", "exp2.mle", "expmle", "expregs", "fish.kent", "floyd", "foldnorm.mle", "freq.max", "freq.min", "fs.reg", "ftest", "ftests", "g2Test", "g2Test_perm", "g2Test_univariate", "g2Test_univariate_perm", "g2tests", "g2tests_perm", "gammacon", "gammamle", "gammanb", "gammanb.pred", "gammareg", "gammaregs", "gaussian.nb", "gaussiannb.pred", "gchi2Test", "geom.anova", "geom.anovas", "geom.mle", "geom.nb", "geom.regs", "geomnb.pred", "gini", "ginis", "glm_logistic", "glm_poisson", "group", "group.sum", "groupcorrels", "gumbel.mle", "halfnorm.mle", "Hash", "hash.find", "Hash.key.multi", "hash.list", "hash2list", "hd.eigen", "hsecant01.mle", "iag.mle", "ibeta.mle", "invdir.mle", "invgauss.mle", "invgauss.reg", "invgauss.regs", "is_element", "is_integer", "is.symmetric", "iterator", "james", "knn", "knn.cv", "kruskaltest", "kruskaltests", "kuiper", "kurt", "kurt.test2", "laplace.mle", "Lbeta", "Lchoose", "Lgamma", "lindley.mle", "list.ftests", "lmfit", "Log", "logcauchy.mle", "logistic_only", "logistic.cat1", "logistic.mle", "logitnorm.mle", "loglogistic.mle", "lognorm.mle", "logseries.mle", "lomax.mle", "lower_tri", "lower_tri.assign", "Mad", "mahala", "mat.mat", "mat.mult", "Match", "match.coefs", "matrnorm", "maxboltz.mle", "mcnemar", "mcnemars", "med", "Median", "mediandir", "min_max", "multinom.mle", "multinom.nb", "multinom.reg", "multinom.regs", "multinomnb.pred", "multivmf.mle", "mv.eeltest1", "mv.eeltest2", "mvbetas", "mvkurtosis", "mvlnorm.mle", "mvnorm.mle", "mvt.mle", "negative", "negbin.mle", "Norm", "normal.mle", "normlog.mle", "normlog.reg", "normlog.regs", "nth", "odds", "odds.ratio", "omp", "ompr", "Order", "ordinal.mle", "Outer", "pareto.mle", "pc.skel", "pdcor", "percent.ttest", "percent.ttests", "permcor", "permutation", "permutation.next", "permutation.prev", "Pmax", "Pmin", "Pmin_Pmax", "pois.test", "poisdisp.test", "poisson_only", "poisson.anova", "poisson.anovas", "poisson.cat1", "poisson.mle", "poisson.nb", "poissonnb.pred", "poly.cor", "pooled.cov", "positive", "positive.negative", "prop.reg", "prop.regs", "proptest", "proptests", "qpois.reg", "qpois.regs", "quasi.poisson_only", "quasipoisson.anova", "quasipoisson.anovas", "racg", "Rank", "rayleigh.mle", "rbing", "rbingham", "read.directory", "read.examples", "regression", "rel.risk", "RemoveFromNamespace", "rep_col", "rep_row", "rint.mle", "rint.reg", "rint.regbx", "rint.regs", "rm.anova", "rm.anovas", "rm.lines", "rmdp", "rmvlaplace", "rmvnorm", "rmvt", "Rnorm", "Round", "rowAll", "rowAny", "rowCountValues", "rowcvs", "rowFalse", "rowhameans", "rowMads", "rowMaxs", "rowmeans", "rowMedians", "rowMins", "rowMinsMaxs", "rownth", "rowOrder", "rowprods", "rowrange", "rowRanks", "rows", "rowShuffle", "rowSort", "rowsums", "rowTabulate", "rowTrue", "rowTrueFalse", "rowVars", "rvmf", "rvonmises", "score.betaregs", "score.expregs", "score.gammaregs", "score.geomregs", "score.glms", "score.invgaussregs", "score.multinomregs", "score.negbinregs", "score.weibregs", "score.ztpregs", "sftest", "sftests", "skew", "skew.test2", "Sort", "sort_cor_vectors", "sort_mat", "sort_unique", "sort_unique.length", "Sort.int", "sourceR", "sourceRd", "spat.med", "spatmed.reg", "spdinv", "spml.mle", "spml.reg", "spml.regs", "squareform", "sscov", "Stack", "standardise", "submatrix", "Table", "Table.sign", "Tcrossprod", "tmle", "tobit.mle", "topological_sort", "total.dist", "total.dista", "transpose", "Trigamma", "ttest", "ttest1", "ttest2", "ttests", "ttests.pairs", "twoway.anova", "twoway.anovas", "ufactor", "Unique", "univglms", "univglms2", "upper_tri", "upper_tri.assign", "Var", "var2test", "var2tests", "varcomps.mle", "varcomps.mom", "vartest", "vartests", "vecdist", "vm.mle", "vmf.mle", "watson", "weib.reg", "weibull.mle", "which.is", "wigner.mle", "wrapcauchy.mle", "XopY.sum", "yule", "zip.mle", "ztp.mle" ], "_help": [ { "page": "Rfast-package", "title": "A Collection of Efficient and Extremely Fast R Functions", "topics": [ "Rfast-package" ] }, { "page": "comb_n", "title": "All k possible combinations from n elements", "topics": [ "comb_n" ] }, { "page": "ancova1", "title": "Analysis of covariance", "topics": [ "ancova1" ] }, { "page": "poisson.anova", "title": "Analysis of variance with a count variable", "topics": [ "geom.anova", "poisson.anova", "quasipoisson.anova" ] }, { "page": "racg", "title": "Angular central Gaussian random values simulation", "topics": [ "racg" ] }, { "page": "anova_quasipois.reg", "title": "ANOVA for two quasi Poisson regression models", "topics": [ "anova_quasipois.reg" ] }, { "page": "negative", "title": "Apply method to Positive and Negative number", "topics": [ "negative", "positive", "positive.negative" ] }, { "page": "apply.condition", "title": "Apply to each column a method under condition", "topics": [ "apply.condition" ] }, { "page": "bs.reg", "title": "Backward selection regression", "topics": [ "bs.reg" ] }, { "page": "bic.corfsreg", "title": "BIC (using partial correlation) forward regression", "topics": [ "bic.corfsreg" ] }, { "page": "bic.fs.reg", "title": "BIC forward regression with generalised linear models", "topics": [ "bic.fs.reg" ] }, { "page": "binary_search", "title": "Binary search algorithm", "topics": [ "binary_search" ] }, { "page": "Lchoose", "title": "Binomial coefficient and its logarithm", "topics": [ "Choose", "Lchoose" ] }, { "page": "boot.ttest2", "title": "Bootstrap t-test for 2 independent samples", "topics": [ "boot.ttest2" ] }, { "page": "colrow.value", "title": "Check if any column or row is fill with values", "topics": [ "colrow.value" ] }, { "page": "is_integer", "title": "Check if values are integers and convert to integer", "topics": [ "as_integer", "is_integer" ] }, { "page": "checkNamespace", "title": "Check Namespace and Rd files", "topics": [ "checkAliases", "checkExamples", "checkNamespace", "checkTF", "checkUsage" ] }, { "page": "is.symmetric", "title": "Check whether a square matrix is symmetric", "topics": [ "is.symmetric" ] }, { "page": "gchi2Test", "title": "Chi-square and G-square tests of (unconditional) indepdence", "topics": [ "gchi2Test" ] }, { "page": "cholesky", "title": "Cholesky decomposition of a square matrix", "topics": [ "cholesky" ] }, { "page": "spml.reg", "title": "Circular or angular regression(s)", "topics": [ "spml.reg", "spml.regs" ] }, { "page": "circlin.cor", "title": "Circular-linear correlation", "topics": [ "circlin.cor" ] }, { "page": "coeff", "title": "Coefficient matrices", "topics": [ "coeff" ] }, { "page": "colCumMaxs", "title": "Colum-wise cumulative operations (sum, prod, min, max)", "topics": [ "colCumMaxs", "colCumMins", "colCumProds", "colCumSums" ] }, { "page": "colcvs", "title": "Column and row wise coefficients of variation", "topics": [ "colcvs", "rowcvs" ] }, { "page": "colAny", "title": "Column and row-wise Any", "topics": [ "colAll", "colAny", "rowAll", "rowAny" ] }, { "page": "colmeans", "title": "Column and row-wise means of a matrix", "topics": [ "colhameans", "colmeans", "colmeans.data.frame", "colmeans.matrix", "rowhameans", "rowmeans" ] }, { "page": "Median", "title": "Column and row-wise medians of a matrix or median of a vector", "topics": [ "colMedians", "med", "Median", "rowMedians" ] }, { "page": "nth", "title": "Column and row-wise nth smallest value of a matrix/vector", "topics": [ "colnth", "nth", "rownth" ] }, { "page": "Order", "title": "Column and row-wise Order - Sort Indices", "topics": [ "colOrder", "Order", "rowOrder" ] }, { "page": "colprods", "title": "Column and row-wise products", "topics": [ "colprods", "rowprods" ] }, { "page": "colrange", "title": "Column and row-wise range of values of a matrix", "topics": [ "colrange", "rowrange" ] }, { "page": "Rank", "title": "Column and row-wise ranks", "topics": [ "colRanks", "Rank", "rowRanks" ] }, { "page": "colShuffle", "title": "Column and row-wise Shuffle", "topics": [ "colShuffle", "rowShuffle" ] }, { "page": "colsums", "title": "Column and row-wise sums of a matrix", "topics": [ "colsums", "rowsums" ] }, { "page": "colTabulate", "title": "Column and row-wise tabulate", "topics": [ "colTabulate", "rowTabulate" ] }, { "page": "colVars", "title": "Column and row-wise variances and standard deviations of a matrix", "topics": [ "colVars", "colVars.data.frame", "colVars.matrix", "rowVars" ] }, { "page": "Mad", "title": "Column and row-wise mean absolute deviations", "topics": [ "colMads", "Mad", "rowMads" ] }, { "page": "coldiffs", "title": "Column-wise differences", "topics": [ "coldiffs" ] }, { "page": "colkurtosis", "title": "Column-wise kurtosis and skewness coefficients", "topics": [ "colkurtosis", "colskewness" ] }, { "page": "match.coefs", "title": "Column-wise matching coefficients", "topics": [ "match.coefs" ] }, { "page": "colMins", "title": "Column-wise minimum and maximum of a matrix", "topics": [ "colMaxs", "colMins", "colMinsMaxs" ] }, { "page": "colnormal.mle", "title": "Column-wise MLE of some univariate distributions", "topics": [ "colexp2.mle", "colexpmle", "colgammamle", "colinvgauss.mle", "collaplace.mle", "collindley.mle", "colmaxboltz.mle", "colnormal.mle", "colnormlog.mle", "colpareto.mle", "colrayleigh.mle", "colvm.mle", "colweibull.mle" ] }, { "page": "colTrue", "title": "Column-wise true/false value of a matrix", "topics": [ "colFalse", "colTrue", "colTrueFalse" ] }, { "page": "colwatsons", "title": "Column-wise uniformity tests for circular data", "topics": [ "colwatsons" ] }, { "page": "col.yule", "title": "Column-wise Yule's Y (coefficient of colligation)", "topics": [ "col.yule" ] }, { "page": "data.frame.to_matrix", "title": "Convert a dataframe to matrix", "topics": [ "data.frame.to_matrix" ] }, { "page": "as.Rfast.function", "title": "Convert R function to the Rfast's coresponding", "topics": [ "as.Rfast.function" ] }, { "page": "cor.fsreg", "title": "Correlation based forward regression", "topics": [ "cor.fsreg" ] }, { "page": "corpairs", "title": "Correlation between pairs of variables", "topics": [ "corpairs" ] }, { "page": "correls", "title": "Correlation between a vector and a set of variables", "topics": [ "correls", "groupcorrels" ] }, { "page": "cova", "title": "Fast covariance and correlation matrix calculation", "topics": [ "cora", "cova" ] }, { "page": "cox.poisrat", "title": "Cox confidence interval for the ratio of two Poisson variables", "topics": [ "col.coxpoisrat", "cox.poisrat" ] }, { "page": "knn.cv", "title": "Cross-Validation for the k-NN algorithm", "topics": [ "knn.cv" ] }, { "page": "dirknn.cv", "title": "Cross-Validation for the k-NN algorithm using the arc cosinus distance", "topics": [ "dirknn.cv" ] }, { "page": "env.copy", "title": "Deep copy", "topics": [ "env.copy" ] }, { "page": "dmvnorm", "title": "Density of the multivariate normal and t distributions", "topics": [ "dmvnorm", "dmvt" ] }, { "page": "design_matrix", "title": "Design Matrix", "topics": [ "design_matrix" ] }, { "page": "Diag.fill", "title": "Diagonal Matrix", "topics": [ "Diag.fill", "Diag.matrix" ] }, { "page": "dista", "title": "Distance between vectors and a matrix - Sum of all pairwise distances in a distance matrix", "topics": [ "dista", "total.dista" ] }, { "page": "Dist", "title": "Distance matrix - Sum of all pairwise distances in a distance matrix", "topics": [ "Dist", "total.dist", "vecdist" ] }, { "page": "dcov", "title": "Distance variance, covariance and correlation", "topics": [ "bcdcor", "dcor", "dcov", "dvar" ] }, { "page": "hd.eigen", "title": "Eigenvalues in high dimensional principal component analysis", "topics": [ "hd.eigen" ] }, { "page": "eel.test1", "title": "Empirical and exponential empirical likelihood tests for one sample", "topics": [ "eel.test1", "el.test1" ] }, { "page": "eel.test2", "title": "Empirical and exponential empirical likelihood tests for two samples", "topics": [ "eel.test2", "el.test2" ] }, { "page": "edist", "title": "Energy distance between matrices", "topics": [ "edist" ] }, { "page": "ar1", "title": "Estimation of an AR(1) model", "topics": [ "ar1", "colar1" ] }, { "page": "bc", "title": "Estimation of the Box-Cox transformation", "topics": [ "bc" ] }, { "page": "exact.ttest2", "title": "Exact t-test for 2 independent samples", "topics": [ "exact.ttest2" ] }, { "page": "mv.eeltest1", "title": "Exponential empirical likelihood for a one sample mean vector hypothesis testing", "topics": [ "mv.eeltest1" ] }, { "page": "mv.eeltest2", "title": "Exponential empirical likelihood hypothesis testing for two mean vectors", "topics": [ "mv.eeltest2" ] }, { "page": "ufactor", "title": "Fast and general represantation of a factor variable", "topics": [ "print.ufactor", "ufactor", "[.ufactor" ] }, { "page": "cor.fbed", "title": "FBED variable selection method using the correlation", "topics": [ "cor.fbed" ] }, { "page": "is_element", "title": "Find element", "topics": [ "is_element" ] }, { "page": "hash.find", "title": "Find the given value in a hash table", "topics": [ "hash.find" ] }, { "page": "btmprobs", "title": "Fitted probabilities of the Terry-Bradley model", "topics": [ "btmprobs" ] }, { "page": "diri.nr2", "title": "Fitting a Dirichlet distribution via Newton-Rapshon", "topics": [ "diri.nr2" ] }, { "page": "floyd", "title": "Floyd-Warshall algorithm for shortest paths in a directed graph", "topics": [ "floyd" ] }, { "page": "fs.reg", "title": "Variable selection in generalised linear regression models with forward selection", "topics": [ "fs.reg" ] }, { "page": "g2Test", "title": "G-square test of conditional indepdence", "topics": [ "chi2Test", "g2Test", "g2Test_perm" ] }, { "page": "gammareg", "title": "Gamma regression with a log-link", "topics": [ "gammacon", "gammareg" ] }, { "page": "normlog.reg", "title": "Gaussian regression with a log-link", "topics": [ "normlog.reg" ] }, { "page": "matrnorm", "title": "Generates random values from a normal and puts them in a matrix", "topics": [ "matrnorm" ] }, { "page": "columns", "title": "Get specific columns/rows fo a matrix", "topics": [ "columns", "rows" ] }, { "page": "hash.list", "title": "Hash - Pair function", "topics": [ "hash.list" ] }, { "page": "Hash", "title": "Hash object", "topics": [ "Hash", "Hash.key.multi", "length.Hash", "print.Hash", "[.Hash", "[<-.Hash" ] }, { "page": "hash2list", "title": "Hash object to a list object", "topics": [ "hash2list" ] }, { "page": "rmdp", "title": "High dimensional MCD based detection of outliers", "topics": [ "rmdp" ] }, { "page": "dcor.ttest", "title": "Hypothesis test for the distance correlation", "topics": [ "dcor.ttest" ] }, { "page": "percent.ttest", "title": "Hypothesis test for two means of percentages", "topics": [ "percent.ttest" ] }, { "page": "fish.kent", "title": "Hypothesis test for von Mises-Fisher distribution over Kent distribution", "topics": [ "fish.kent" ] }, { "page": "skew.test2", "title": "Hypothesis testing between two skewness or kurtosis coefficients", "topics": [ "kurt.test2", "skew.test2" ] }, { "page": "which.is", "title": "Index of the columns of a data.frame which are a specific type", "topics": [ "which.is" ] }, { "page": "AddToNamespace", "title": "Insert/remove function names in/from the NAMESPACE file", "topics": [ "AddToNamespace", "RemoveFromNamespace" ] }, { "page": "invgauss.reg", "title": "Inverese Gaussian regression with a log-link", "topics": [ "invgauss.reg" ] }, { "page": "spdinv", "title": "Inverse of a symmetric positive definite matrix", "topics": [ "spdinv" ] }, { "page": "iterator", "title": "Iterator", "topics": [ "!=.iterator", "==.iterator", "Elem", "Elem.iterator", "Elem<-", "Elem<-.iterator", "iterator", "print.iterator" ] }, { "page": "james", "title": "James multivariate version of the t-test", "topics": [ "james" ] }, { "page": "knn", "title": "k nearest neighbours algorithm (k-NN)", "topics": [ "knn" ] }, { "page": "dirknn", "title": "k-NN algorithm using the arc cosinus distance", "topics": [ "dirknn" ] }, { "page": "eigen.sym", "title": "Limited number of eigenvalues and eigenvectors of a symmetric matrix", "topics": [ "eigen.sym" ] }, { "page": "lmfit", "title": "Linear models for large scale data", "topics": [ "lmfit" ] }, { "page": "glm_logistic", "title": "Logistic and Poisson regression models", "topics": [ "glm_logistic", "glm_poisson" ] }, { "page": "logistic.cat1", "title": "Logistic or Poisson regression with a single categorical predictor", "topics": [ "logistic.cat1", "poisson.cat1" ] }, { "page": "lower_tri", "title": "Lower and Upper triangular of a matrix", "topics": [ "lower_tri", "lower_tri.assign", "upper_tri", "upper_tri.assign" ] }, { "page": "mahala", "title": "Mahalanobis distance", "topics": [ "mahala" ] }, { "page": "colaucs", "title": "Many area under the curve values", "topics": [ "auc", "colaucs" ] }, { "page": "proptests", "title": "Many 2 sample proportions tests", "topics": [ "proptests" ] }, { "page": "ttests", "title": "Many 2 sample tests tests", "topics": [ "mcnemars", "ttests", "var2tests" ] }, { "page": "poisson.anovas", "title": "Many analysis of variance tests with a discrete variable", "topics": [ "geom.anovas", "poisson.anovas", "quasipoisson.anovas" ] }, { "page": "ancovas", "title": "Many ANCOVAs", "topics": [ "ancovas" ] }, { "page": "colpoisson.anovas", "title": "Many ANOVAS for count data with Poisson or quasi Poisson models", "topics": [ "colpoisson.anovas", "colquasipoisson.anovas" ] }, { "page": "expregs", "title": "Many exponential regressions", "topics": [ "expregs" ] }, { "page": "list.ftests", "title": "Many F-tests with really huge matrices", "topics": [ "list.ftests" ] }, { "page": "g2tests", "title": "Many G-square tests of indepedence", "topics": [ "chi2tests", "g2tests", "g2tests_perm" ] }, { "page": "percent.ttests", "title": "Many hypothesis tests for two means of percentages", "topics": [ "percent.ttests" ] }, { "page": "colvarcomps.mom", "title": "Many moment and maximum likelihood estimations of variance components", "topics": [ "colvarcomps.mle", "colvarcomps.mom" ] }, { "page": "ftests", "title": "Many multi-sample tests", "topics": [ "anovas", "block.anovas", "ftests", "vartests" ] }, { "page": "mvbetas", "title": "Many multivariate simple linear regressions coefficients", "topics": [ "mvbetas" ] }, { "page": "kruskaltests", "title": "Many multi-sample tests", "topics": [ "cqtests", "kruskaltests" ] }, { "page": "odds", "title": "Many odds ratio tests", "topics": [ "odds" ] }, { "page": "cat.goftests", "title": "Many one sample goodness of fit tests for categorical data", "topics": [ "cat.goftests" ] }, { "page": "ttest", "title": "Many one sample tests", "topics": [ "proptest", "ttest", "vartest" ] }, { "page": "colrint.regbx", "title": "Many random intercepts LMMs for balanced data with a single identical covariate", "topics": [ "colrint.regbx" ] }, { "page": "rm.lines", "title": "Many regression based tests for single sample repeated measures", "topics": [ "rm.anovas", "rm.lines" ] }, { "page": "score.glms", "title": "Many score based regressions", "topics": [ "score.betaregs", "score.expregs", "score.gammaregs", "score.geomregs", "score.glms", "score.invgaussregs", "score.multinomregs", "score.negbinregs", "score.weibregs", "score.ztpregs" ] }, { "page": "sftests", "title": "Many Shapiro-Francia normality tests", "topics": [ "sftest", "sftests" ] }, { "page": "geom.regs", "title": "Many simple geometric regressions", "topics": [ "geom.regs" ] }, { "page": "rint.regs", "title": "Many simple linear mixed model regressions", "topics": [ "rint.regs" ] }, { "page": "allbetas", "title": "Simple linear regressions coefficients", "topics": [ "allbetas" ] }, { "page": "multinom.regs", "title": "Many simple multinomial regressions", "topics": [ "multinom.regs" ] }, { "page": "normlog.regs", "title": "Many simple regressions for positive valued data", "topics": [ "gammaregs", "invgauss.regs", "normlog.regs" ] }, { "page": "colpoisdisp.tests", "title": "Many tests for the dispersion parameter in Poisson distribution", "topics": [ "colpois.tests", "colpoisdisp.tests" ] }, { "page": "twoway.anovas", "title": "Many two-way ANOVAs", "topics": [ "twoway.anovas" ] }, { "page": "univglms", "title": "Many univariate generalised linear regressions", "topics": [ "univglms", "univglms2" ] }, { "page": "regression", "title": "Many univariate simple linear regressions", "topics": [ "regression" ] }, { "page": "logistic_only", "title": "Many univariate simple binary logistic regressions", "topics": [ "logistic_only", "poisson_only" ] }, { "page": "quasi.poisson_only", "title": "Many univariate simple poisson regressions", "topics": [ "quasi.poisson_only" ] }, { "page": "colanovas", "title": "Many Welch's F-tests", "topics": [ "colanovas" ] }, { "page": "Match", "title": "Match", "topics": [ "Match" ] }, { "page": "mat.mult", "title": "Matrix multiplication, Cross and Tcross product", "topics": [ "Crossprod", "mat.mult", "Tcrossprod" ] }, { "page": "allttests", "title": "Matrix with all pairs of t-tests", "topics": [ "allttests", "ttests.pairs" ] }, { "page": "g2Test_univariate", "title": "Matrix with G-square tests of indepdence", "topics": [ "chi2Test_univariate", "g2Test_univariate", "g2Test_univariate_perm" ] }, { "page": "Pmax", "title": "Minima and maxima of two vectors/matrices and Column-row wise minima and maxima of two matrices", "topics": [ "colPmax", "colPmin", "Pmax", "Pmin", "Pmin_Pmax" ] }, { "page": "min_max", "title": "Minimum and maximum of a vector", "topics": [ "min_max" ] }, { "page": "freq.min", "title": "Minimum and maximum frequencies of a vector", "topics": [ "freq.max", "freq.min" ] }, { "page": "multinom.mle", "title": "MLE for multivariate discrete data", "topics": [ "colgeom.mle", "colpoisson.mle", "dirimultinom.mle", "multinom.mle" ] }, { "page": "acg.mle", "title": "MLE of (hyper-)spherical distributions", "topics": [ "acg.mle", "iag.mle", "multivmf.mle", "vmf.mle" ] }, { "page": "gammamle", "title": "MLE of continuous univariate distributions defined on the positive line", "topics": [ "betaprime.mle", "chisq.mle", "exp2.mle", "expmle", "foldnorm.mle", "gammamle", "halfnorm.mle", "invgauss.mle", "lindley.mle", "logcauchy.mle", "loglogistic.mle", "lognorm.mle", "lomax.mle", "maxboltz.mle", "normlog.mle", "pareto.mle", "rayleigh.mle", "weibull.mle" ] }, { "page": "normal.mle", "title": "MLE of continuous univariate distributions defined on the real line", "topics": [ "cauchy.mle", "ct.mle", "gumbel.mle", "laplace.mle", "logistic.mle", "normal.mle", "tmle", "wigner.mle" ] }, { "page": "zip.mle", "title": "MLE of count data", "topics": [ "betabinom.mle", "betageom.mle", "binom.mle", "borel.mle", "geom.mle", "logseries.mle", "negbin.mle", "poisson.mle", "zip.mle", "ztp.mle" ] }, { "page": "beta.mle", "title": "MLE of distributions defined in the (0, 1) interval", "topics": [ "beta.mle", "hsecant01.mle", "ibeta.mle", "logitnorm.mle" ] }, { "page": "vm.mle", "title": "MLE of some circular distributions", "topics": [ "spml.mle", "vm.mle", "wrapcauchy.mle" ] }, { "page": "invdir.mle", "title": "MLE of the inverted Dirichlet distribution", "topics": [ "invdir.mle" ] }, { "page": "mvnorm.mle", "title": "MLE of the multivariate (log-) normal distribution", "topics": [ "mvlnorm.mle", "mvnorm.mle" ] }, { "page": "mvt.mle", "title": "MLE of the multivariate t distribution", "topics": [ "mvt.mle" ] }, { "page": "ordinal.mle", "title": "MLE of the ordinal model without covariates", "topics": [ "ordinal.mle" ] }, { "page": "tobit.mle", "title": "MLE of the tobit model", "topics": [ "tobit.mle" ] }, { "page": "varcomps.mom", "title": "Moment and maximum likelihood estimation of variance components", "topics": [ "rint.mle", "varcomps.mle", "varcomps.mom" ] }, { "page": "ftest", "title": "Multi-sample tests for vectors", "topics": [ "anova1", "block.anova", "cqtest", "ftest", "kruskaltest", "mcnemar", "ttest2", "twoway.anova", "var2test" ] }, { "page": "multinom.reg", "title": "Multinomial regression", "topics": [ "multinom.reg" ] }, { "page": "mvkurtosis", "title": "Multivariate kurtosis", "topics": [ "mvkurtosis" ] }, { "page": "rmvlaplace", "title": "Multivariate Laplace random values simulation", "topics": [ "rmvlaplace" ] }, { "page": "rmvnorm", "title": "Multivariate normal and t random values simulation", "topics": [ "rmvnorm", "rmvt" ] }, { "page": "gaussian.nb", "title": "Naive Bayes classifiers", "topics": [ "gammanb", "gaussian.nb", "geom.nb", "multinom.nb", "poisson.nb" ] }, { "page": "Log", "title": "Natural Logarithm each element of a matrix", "topics": [ "Log" ] }, { "page": "Lbeta", "title": "Natural logarithm of the beta function", "topics": [ "Lbeta" ] }, { "page": "Lgamma", "title": "Natural logarithm of the gamma function and its derivatives", "topics": [ "Digamma", "Lgamma", "Trigamma" ] }, { "page": "Norm", "title": "Norm of a matrix", "topics": [ "Norm" ] }, { "page": "mat.mat", "title": "Number of equal columns between two matrices", "topics": [ "mat.mat" ] }, { "page": "odds.ratio", "title": "Odds ratio and relative risk", "topics": [ "odds.ratio", "rel.risk" ] }, { "page": "ginis", "title": "One and many Gini coefficients", "topics": [ "gini", "ginis" ] }, { "page": "ttest1", "title": "One sample t-test for a vector", "topics": [ "ttest1" ] }, { "page": "XopY.sum", "title": "Operations between two matrices or matrix and vector", "topics": [ "eachcol.apply", "eachrow", "XopY.sum" ] }, { "page": "ompr", "title": "Orthogonal matching pursuit variable selection", "topics": [ "omp", "ompr" ] }, { "page": "Outer", "title": "Outer function", "topics": [ "Outer" ] }, { "page": "pdcor", "title": "Partial distance correlation", "topics": [ "pdcor" ] }, { "page": "permutation", "title": "Permutation", "topics": [ "bincomb", "permutation", "permutation.next", "permutation.prev" ] }, { "page": "permcor", "title": "Permutation based p-value for the Pearson correlation coefficient", "topics": [ "permcor" ] }, { "page": "poly.cor", "title": "Polyserial correlation", "topics": [ "poly.cor" ] }, { "page": "pooled.cov", "title": "Pooled covariance matrix", "topics": [ "pooled.cov" ] }, { "page": "gaussiannb.pred", "title": "Prediction with some naive Bayes classifiers", "topics": [ "gammanb.pred", "gaussiannb.pred", "geomnb.pred", "multinomnb.pred", "poissonnb.pred" ] }, { "page": "prop.reg", "title": "Quasi binomial regression for proportions", "topics": [ "prop.reg", "prop.regs" ] }, { "page": "qpois.reg", "title": "Quasi Poisson regression", "topics": [ "qpois.reg", "qpois.regs" ] }, { "page": "rint.regbx", "title": "Random intercepts linear mixed models", "topics": [ "rint.reg", "rint.regbx" ] }, { "page": "rvonmises", "title": "Random values simulation from a von Mises distribution", "topics": [ "rvonmises" ] }, { "page": "read.directory", "title": "Reading the files of a directory", "topics": [ "read.directory", "read.examples" ] }, { "page": "rm.anova", "title": "Repeated measures anova", "topics": [ "rm.anova" ] }, { "page": "rep_col", "title": "Replicate columns/rows", "topics": [ "rep_col", "rep_row" ] }, { "page": "Stack", "title": "Represantation of Stack", "topics": [ "Stack" ] }, { "page": "Round", "title": "Round each element of a matrix/vector", "topics": [ "Round" ] }, { "page": "count_value", "title": "Row - Wise matrix/vector count the frequency of a value", "topics": [ "colCountValues", "count_value", "rowCountValues" ] }, { "page": "rowMins", "title": "Row-wise minimum and maximum of a matrix", "topics": [ "rowMaxs", "rowMins", "rowMinsMaxs" ] }, { "page": "rowTrue", "title": "Row-wise true value of a matrix", "topics": [ "rowFalse", "rowTrue", "rowTrueFalse" ] }, { "page": "check_data", "title": "Search for variables with zero range in a matrix", "topics": [ "check_data" ] }, { "page": "anova_propreg", "title": "Significance testing for the coefficients of Quasi binomial or the quasi Poisson regression", "topics": [ "anova_propreg", "anova_qpois.reg" ] }, { "page": "rbing", "title": "Simulating from a Bingham distribution", "topics": [ "rbing" ] }, { "page": "rbingham", "title": "Simulation of random values from a Bingham distribution with any symmetric matrix", "topics": [ "rbingham" ] }, { "page": "Rnorm", "title": "Simulation of random values from a normal distribution", "topics": [ "Rnorm" ] }, { "page": "rvmf", "title": "Random values simulation from a von Mises-Fisher distribution", "topics": [ "rvmf" ] }, { "page": "pc.skel", "title": "The skeleton of a Bayesian network produced by the PC algorithm", "topics": [ "pc.skel" ] }, { "page": "skew", "title": "Skewness and kurtosis coefficients", "topics": [ "kurt", "skew" ] }, { "page": "group", "title": "Some summary statistics of a vector for each level of a grouping variable", "topics": [ "group", "group.sum" ] }, { "page": "Sort", "title": "Sort - Integer Sort - Sort a vector coresponding to another", "topics": [ "Sort", "Sort.int", "sort_cor_vectors" ] }, { "page": "sort_unique", "title": "Sort and unique", "topics": [ "sort_unique", "sort_unique.length", "Unique" ] }, { "page": "sort_mat", "title": "Sorting of the columns-rows of a matrix", "topics": [ "colSort", "rowSort", "sort_mat" ] }, { "page": "sourceR", "title": "Source many R files", "topics": [ "sourceR", "sourceRd" ] }, { "page": "spat.med", "title": "Spatial median for Euclidean data", "topics": [ "spat.med" ] }, { "page": "spatmed.reg", "title": "Spatial median regression", "topics": [ "spatmed.reg" ] }, { "page": "sscov", "title": "Spatial sign covariance matrix", "topics": [ "sscov" ] }, { "page": "mediandir", "title": "Fast calculation of the spherical and hyperspherical median", "topics": [ "mediandir" ] }, { "page": "standardise", "title": "Standardisation", "topics": [ "standardise" ] }, { "page": "submatrix", "title": "Sub-matrix", "topics": [ "submatrix" ] }, { "page": "Table", "title": "Table Creation - Frequency of each value", "topics": [ "Table", "Table.sign" ] }, { "page": "poisdisp.test", "title": "Tests for the dispersion parameter in Poisson distribution", "topics": [ "pois.test", "poisdisp.test" ] }, { "page": "topological_sort", "title": "Topological sort of a DAG", "topics": [ "topological_sort" ] }, { "page": "transpose", "title": "Transpose of a matrix", "topics": [ "transpose" ] }, { "page": "kuiper", "title": "Uniformity tests for circular data", "topics": [ "kuiper", "watson" ] }, { "page": "Var", "title": "Variance (and standard deviation) of a vector", "topics": [ "Var" ] }, { "page": "squareform", "title": "Vector allocation in a symmetric matrix", "topics": [ "squareform" ] }, { "page": "weib.reg", "title": "Weibull regression model", "topics": [ "weib.reg" ] }, { "page": "yule", "title": "Yule's Y (coefficient of colligation)", "topics": [ "yule" ] } ], "_readme": "https://github.com/RfastOfficial/Rfast/raw/HEAD/README.md", "_rundeps": [ "Rcpp", "RcppArmadillo", "RcppParallel", "zigg" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_score": 12.855039655982884, "_indexed": false, "_nocasepkg": "rfast", "_universes": [ "fastverse" ], "_indexurl": "https://rfastofficial.r-universe.dev/Rfast", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.1.5.2", "date": "2026-06-04T07:25:16.000Z", "distro": "noble", "arch": "aarch64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "863cd18eb214f771a8758ef78b69aa0054f6df1188e6ef396f6b92a96abce9fe", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.7.0", "os": "linux", "version": "2.1.5.2", "date": "2026-06-04T07:25:12.000Z", "distro": "noble", "arch": "x86_64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "ed9626049a8807e3495553da0757921bd9a1dcb689466e042bcb2867394d1059", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.6.0", "os": "linux", "version": "2.1.5.2", "date": "2026-06-04T07:25:24.000Z", "distro": "noble", "arch": "aarch64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "e9b8583565b5d691878f619fcf9c8b60fbd185145ecf5ee33d60b98ad7d0887a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.6.0", "os": "linux", "version": "2.1.5.2", "date": "2026-06-04T07:25:10.000Z", "distro": "noble", "arch": "x86_64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "1ca8932f15da6bcc6b6585da0a6c0215faa57bbea6379912d63bc3146f902eca", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.5.3", "os": "mac", "version": "2.1.5.2", "date": "2026-06-04T07:26:41.000Z", "arch": "aarch64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "bbadd0621e2fc9cabf250e54f9365aaf56526b99460ff32a969fef3e61d7b5ad", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.5.3", "os": "mac", "version": "2.1.5.2", "date": "2026-06-04T07:30:49.000Z", "arch": "x86_64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "f931a240e1637c375fc75cc77cd65eefefb3e74cc4a693360dfba68e82a7fe94", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.6.0", "os": "mac", "version": "2.1.5.2", "date": "2026-06-04T07:28:15.000Z", "arch": "aarch64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "3b6a51655651a48bd40b3427178d90ca40277dd9d8dc566a0324270e40f5681e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.6.0", "os": "mac", "version": "2.1.5.2", "date": "2026-06-04T07:28:17.000Z", "arch": "x86_64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "0cd3782a2e2987ba0655e3f55fac887117a0aab4be8391aa951ff71f8340a464", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.6.0", "os": "wasm", "version": "2.1.5.2", "date": "2026-06-04T07:25:12.000Z", "arch": "emscripten", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "265597113bfd25df16bd97a2fd63c5c08f1e542c1b5a173e982c9adfdcd94492", "status": "success", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.7.0", "os": "win", "version": "2.1.5.2", "date": "2026-06-04T07:24:56.000Z", "arch": "x86_64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "a17d36d2b8314f82aef0191bd3d7d95263dd936b767f4a78e77ce3833485f481", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.5.3", "os": "win", "version": "2.1.5.2", "date": "2026-06-04T07:24:23.000Z", "arch": "x86_64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "7c0af6481c20be105a183c4fb5e1158717749dc366b1dfaa4d5a64d7e03d4c6e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" }, { "r": "4.6.0", "os": "win", "version": "2.1.5.2", "date": "2026-06-04T07:24:21.000Z", "arch": "x86_64", "commit": "eaa0a9826b072799d63d46f13c8da4fa64ddbc64", "fileid": "8e8ecb89feb30fe8421a26d0a72074897c5c10bbb7372acf3f81fc81f7226e78", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/fastverse/actions/runs/26936562961" } ] }