fastverse r-universe repositoryhttps://fastverse.r-universe.devPackage updated in fastversecranlike-server 0.16.70https://github.com/fastverse.png?size=400fastverse r-universe repositoryhttps://fastverse.r-universe.devTue, 28 Nov 2023 10:26:23 GMT[fastverse] arrow 14.0.0.9000thisisnic@gmail.com (Nic Crane)'Apache' 'Arrow' <https://arrow.apache.org/> is a
cross-language development platform for in-memory data. It
specifies a standardized language-independent columnar memory
format for flat and hierarchical data, organized for efficient
analytic operations on modern hardware. This package provides
an interface to the 'Arrow C++' library.https://github.com/r-universe/fastverse/actions/runs/7017854983Tue, 28 Nov 2023 10:26:23 GMTarrow14.0.0.9000successhttps://fastverse.r-universe.devhttps://github.com/apache/arrow[fastverse] qs 0.25.6traversc@gmail.com (Travers Ching)Provides functions for quickly writing and reading any R
object to and from disk.https://github.com/r-universe/fastverse/actions/runs/7011760740Mon, 27 Nov 2023 22:40:00 GMTqs0.25.6successhttps://fastverse.r-universe.devhttps://github.com/traversc/qsvignette.rmdvignette.htmlUsing qs2018-12-30 03:29:242023-03-28 07:42:42[fastverse] matrixStats 1.1.0-9004henrikb@braju.com (Henrik Bengtsson)High-performing functions operating on rows and columns of
matrices, e.g. col / rowMedians(), col / rowRanks(), and col /
rowSds(). Functions optimized per data type and for subsetted
calculations such that both memory usage and processing time is
minimized. There are also optimized vector-based methods, e.g.
binMeans(), madDiff() and weightedMedian().https://github.com/r-universe/fastverse/actions/runs/7010620478Mon, 27 Nov 2023 20:40:09 GMTmatrixStats1.1.0-9004successhttps://fastverse.r-universe.devhttps://github.com/HenrikBengtsson/matrixStatsmatrixStats-methods.md.rspmatrixStats-methods.htmlmatrixStats: Summary of functions2014-12-20 18:06:502019-07-21 14:08:36[fastverse] stringfish 0.16.0traversc@gmail.com (Travers Ching)Provides an extendable, performant and multithreaded
'alt-string' implementation backed by 'C++' vectors and
strings.https://github.com/r-universe/fastverse/actions/runs/7010621059Mon, 27 Nov 2023 20:13:55 GMTstringfish0.16.0successhttps://fastverse.r-universe.devhttps://github.com/traversc/stringfishvignette.rmdvignette.htmlstringfish2020-04-13 18:08:402023-05-29 16:31:43[fastverse] data.table 1.14.9mattjdowle@gmail.com (Matt Dowle)Fast aggregation of large data (e.g. 100GB in RAM), fast
ordered joins, fast add/modify/delete of columns by group using
no copies at all, list columns, friendly and fast
character-separated-value read/write. Offers a natural and
flexible syntax, for faster development.https://github.com/r-universe/fastverse/actions/runs/7003501702Mon, 27 Nov 2023 09:56:08 GMTdata.table1.14.9successhttps://fastverse.r-universe.devhttps://github.com/Rdatatable/data.tabledatatable-benchmarking.Rmddatatable-benchmarking.htmlBenchmarking data.table2018-03-20 20:42:182019-05-31 20:40:28datatable-reshape.Rmddatatable-reshape.htmlEfficient reshaping using data.tables2015-06-23 23:49:212021-10-12 17:27:19datatable-faq.Rmddatatable-faq.htmlFrequently Asked Questions about data.table2016-03-02 21:00:182021-10-08 12:01:03datatable-importing.Rmddatatable-importing.htmlImporting data.table2017-11-27 22:34:252021-08-22 16:42:44datatable-intro.Rmddatatable-intro.htmlIntroduction to data.table2016-03-06 21:25:032021-09-23 21:09:17datatable-keys-fast-subset.Rmddatatable-keys-fast-subset.htmlKeys and fast binary search based subset2015-01-23 16:36:012022-07-19 02:11:48datatable-programming.Rmddatatable-programming.htmlProgramming on data.table2021-05-10 07:11:252022-10-08 19:53:28datatable-reference-semantics.Rmddatatable-reference-semantics.htmlReference semantics2015-01-22 12:34:192021-09-29 04:20:49datatable-secondary-indices-and-auto-indexing.Rmddatatable-secondary-indices-and-auto-indexing.htmlSecondary indices and auto indexing2016-03-26 12:16:432019-12-17 23:25:39datatable-sd-usage.Rmddatatable-sd-usage.htmlUsing .SD for Data Analysis2019-05-22 03:58:162022-10-08 19:53:28[fastverse] Rcpp 1.0.11.5edd@debian.org (Dirk Eddelbuettel)The 'Rcpp' package provides R functions as well as C++
classes which offer a seamless integration of R and C++. Many R
data types and objects can be mapped back and forth to C++
equivalents which facilitates both writing of new code as well
as easier integration of third-party libraries. Documentation
about 'Rcpp' is provided by several vignettes included in this
package, via the 'Rcpp Gallery' site at
<https://gallery.rcpp.org>, the paper by Eddelbuettel and
Francois (2011, <doi:10.18637/jss.v040.i08>), the book by
Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the
paper by Eddelbuettel and Balamuta (2018,
<doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")'
for details.https://github.com/r-universe/fastverse/actions/runs/6997467643Sun, 26 Nov 2023 18:31:50 GMTRcpp1.0.11.5successhttps://fastverse.r-universe.devhttps://github.com/RcppCore/RcppRcpp-attributes.RnwRcpp-attributes.pdfRcpp-attributes2013-08-31 19:11:152019-10-27 19:14:25Rcpp-extending.RnwRcpp-extending.pdfRcpp-extending2013-08-31 19:11:152019-10-27 19:14:25Rcpp-FAQ.RnwRcpp-FAQ.pdfRcpp-FAQ2013-08-31 19:07:272019-10-27 19:14:25Rcpp-introduction.RnwRcpp-introduction.pdfRcpp-introduction2013-08-31 19:11:152019-10-27 19:14:25Rcpp-jss-2011.RnwRcpp-jss-2011.pdfRcpp-JSS-20112017-09-02 13:01:242019-10-27 19:14:25Rcpp-libraries.RnwRcpp-libraries.pdfRcpp-libraries2020-05-01 01:56:102020-05-01 01:56:10Rcpp-modules.RnwRcpp-modules.pdfRcpp-modules2013-08-31 19:07:272019-10-27 19:14:25Rcpp-package.RnwRcpp-package.pdfRcpp-package2013-08-31 18:54:322019-10-27 19:14:25Rcpp-quickref.RnwRcpp-quickref.pdfRcpp-quickref2013-08-31 18:54:322019-10-27 19:14:25Rcpp-sugar.RnwRcpp-sugar.pdfRcpp-sugar2013-08-31 18:52:292019-10-27 19:14:25[fastverse] s2 1.1.3edzer.pebesma@uni-muenster.de (Edzer Pebesma)Provides R bindings for Google's s2 library for geometric
calculations on the sphere. High-performance constructors and
exporters provide high compatibility with existing spatial
packages, transformers construct new geometries from existing
geometries, predicates provide a means to select geometries
based on spatial relationships, and accessors extract
information about geometries.https://github.com/r-universe/fastverse/actions/runs/6990105134Sat, 25 Nov 2023 15:37:28 GMTs21.1.3successhttps://fastverse.r-universe.devhttps://github.com/r-spatial/s2[fastverse] fixest 0.11.2laurent.berge@u-bordeaux.fr (Laurent Berge)Fast and user-friendly estimation of econometric models
with multiple fixed-effects. Includes ordinary least squares
(OLS), generalized linear models (GLM) and the negative
binomial. The core of the package is based on optimized
parallel C++ code, scaling especially well for large data sets.
The method to obtain the fixed-effects coefficients is based on
Berge (2018)
<https://github.com/lrberge/fixest/blob/master/_DOCS/FENmlm_paper.pdf>.
Further provides tools to export and view the results of
several estimations with intuitive design to cluster the
standard-errors.https://github.com/r-universe/fastverse/actions/runs/6974252826Thu, 23 Nov 2023 20:51:28 GMTfixest0.11.2successhttps://fastverse.r-universe.devhttps://github.com/lrberge/fixestexporting_tables.Rmdexporting_tables.htmlExporting estimation tables2020-07-10 09:12:302023-09-08 09:00:38fixest_walkthrough.Rmdfixest_walkthrough.htmlfixest introduction2019-08-02 09:32:472023-11-23 08:07:08multiple_estimations.Rmdmultiple_estimations.htmlMultiple estimations2020-12-09 15:05:482023-09-08 09:00:38standard_errors.Rmdstandard_errors.htmlOn standard-errors2020-07-04 09:45:362023-11-23 08:07:08[fastverse] ast2ast 0.4konrad_kraemer@yahoo.de (Krämer Konrad)Enable translation of a tiny subset of R to C++. The user
has to define a R function which gets translated. For a full
list of possible functions check the documentation. After
translation an R function is returned which is a shallow
wrapper around the C++ code. Alternatively an external pointer
to the C++ function is returned to the user. The intention of
the package is to generate fast functions which can be used as
ode-system or during optimization.https://github.com/r-universe/fastverse/actions/runs/6972093839Thu, 23 Nov 2023 15:15:11 GMTast2ast0.4failurehttps://fastverse.r-universe.devhttps://github.com/Konrad1991/ast2ast[fastverse] stringi 1.8.2marek@gagolewski.com (Marek Gagolewski)A collection of character string/text/natural language
processing tools for pattern searching (e.g., with 'Java'-like
regular expressions or the 'Unicode' collation algorithm),
random string generation, case mapping, string transliteration,
concatenation, sorting, padding, wrapping, Unicode
normalisation, date-time formatting and parsing, and many more.
They are fast, consistent, convenient, and - thanks to 'ICU'
(International Components for Unicode) - portable across all
locales and platforms. Documentation about 'stringi' is
provided via its website at <https://stringi.gagolewski.com/>
and the paper by Gagolewski (2022,
<doi:10.18637/jss.v103.i02>).https://github.com/r-universe/fastverse/actions/runs/6950606218Tue, 21 Nov 2023 22:24:56 GMTstringi1.8.2successhttps://fastverse.r-universe.devhttps://github.com/gagolews/stringi[fastverse] rextendr 0.3.1.9000ilia.kosenkov@outlook.com (Ilia Kosenkov)Provides functions to compile and load Rust code from R, similar
to how 'Rcpp' or 'cpp11' allow easy interfacing with C++ code. Also provides
helper functions to create R packages that use Rust code. Under the hood,
the Rust crate 'extendr' is used to do all the heavy lifting.https://github.com/r-universe/fastverse/actions/runs/6922395678Sun, 19 Nov 2023 18:43:46 GMTrextendr0.3.1.9000successhttps://fastverse.r-universe.devhttps://github.com/extendr/rextendrsetting_up_rust.Rmdsetting_up_rust.htmlSetting up Rust2021-01-11 23:11:582023-03-03 22:02:09package.Rmdpackage.htmlUsing Rust code in R packages2021-06-09 03:45:292022-05-16 13:13:52[fastverse] stringr 1.5.1.9000hadley@posit.co (Hadley Wickham)A consistent, simple and easy to use set of wrappers around
the fantastic 'stringi' package. All function and argument names (and
positions) are consistent, all functions deal with "NA"'s and zero
length vectors in the same way, and the output from one function is
easy to feed into the input of another.https://github.com/r-universe/fastverse/actions/runs/6877784273Wed, 15 Nov 2023 13:05:16 GMTstringr1.5.1.9000successhttps://fastverse.r-universe.devhttps://github.com/tidyverse/stringrfrom-base.Rmdfrom-base.htmlFrom base R2019-05-14 20:58:432022-12-07 23:16:06stringr.Rmdstringr.htmlIntroduction to stringr2014-11-28 19:43:392018-08-28 14:10:04regular-expressions.Rmdregular-expressions.htmlRegular expressions2016-10-16 21:41:592022-10-31 21:52:20[fastverse] collapse 2.0.6sebastian.krantz@graduateinstitute.ch (Sebastian Krantz)A C/C++ based package for advanced data transformation and
statistical computing in R that is extremely fast, class-agnostic, robust and
programmer friendly. Core functionality includes a rich set of S3 generic grouped
and weighted statistical functions for vectors, matrices and data frames, which
provide efficient low-level vectorizations, OpenMP multithreading, and skip missing
values by default. These are integrated with fast grouping and ordering algorithms
(also callable from C), and efficient data manipulation functions. The package also
provides a flexible and rigorous approach to time series and panel data in R.
It further includes fast functions for common statistical procedures, detailed
(grouped, weighted) summary statistics, powerful tools to work with nested data,
fast data object conversions, functions for memory efficient R programming, and
helpers to effectively deal with variable labels, attributes, and missing data.
It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf',
'plm' (panel-series and data frames), and 'xts'/'zoo'.https://github.com/r-universe/fastverse/actions/runs/6842838533Sun, 12 Nov 2023 19:21:39 GMTcollapse2.0.6successhttps://fastverse.r-universe.devhttps://github.com/SebKrantz/collapsecollapse_and_data.table.Rmdcollapse_and_data.table.htmlcollapse and data.table2020-01-06 17:41:142023-10-11 22:55:56collapse_and_dplyr.Rmdcollapse_and_dplyr.htmlcollapse and dplyr2020-03-12 06:25:552023-10-11 22:55:56collapse_and_plm.Rmdcollapse_and_plm.htmlcollapse and plm2020-03-12 06:25:552023-10-11 22:55:56collapse_and_sf.Rmdcollapse_and_sf.htmlcollapse and sf2021-06-27 22:02:382023-10-11 22:55:56collapse_documentation.Rmdcollapse_documentation.htmlcollapse Documentation and Resources2021-03-01 22:09:462023-10-17 01:54:44collapse_for_tidyverse_users.Rmdcollapse_for_tidyverse_users.htmlcollapse for tidyverse Users2023-10-11 22:55:562023-11-11 11:11:35collapse_object_handling.Rmdcollapse_object_handling.htmlcollapse's Handling of R Objects2023-05-27 23:45:172023-10-11 22:55:56collapse_intro.Rmdcollapse_intro.htmlIntroduction to collapse2020-01-06 17:41:142023-10-11 22:55:56[fastverse] Rfast 2.1.0rfastofficial@gmail.com (Manos Papadakis)A collection of fast (utility) functions for data analysis. Column and row wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions. References: a) Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>. b) Tsagris M. and Papadakis M. (2018). Forward regression in R: from the extreme slow to the extreme fast. Journal of Data Science, 16(4): 771--780. <doi:10.6339/JDS.201810_16(4).00006>. c) Chatzipantsiou C., Dimitriadis M., Papadakis M. and Tsagris M. (2020). Extremely Efficient Permutation and Bootstrap Hypothesis Tests Using Hypothesis Tests Using R. Journal of Modern Applied Statistical Methods, 18(2), eP2898. <doi:10.48550/arXiv.1806.10947>.https://github.com/r-universe/fastverse/actions/runs/6828681741Fri, 10 Nov 2023 18:46:33 GMTRfast2.1.0successhttps://fastverse.r-universe.devhttps://github.com/RfastOfficial/Rfast[fastverse] roll 1.1.7jason.j.foster@gmail.com (Jason Foster)Fast and efficient computation of rolling and expanding statistics for time-series data.https://github.com/r-universe/fastverse/actions/runs/6778903027Tue, 07 Nov 2023 01:20:53 GMTroll1.1.7successhttps://fastverse.r-universe.devhttps://github.com/jjf234/roll[fastverse] tidytable 0.10.2.9mark.t.fairbanks@gmail.com (Mark Fairbanks)A tidy interface to 'data.table',
giving users the speed of 'data.table' while using tidyverse-like syntax.https://github.com/r-universe/fastverse/actions/runs/6774131245Mon, 06 Nov 2023 16:59:36 GMTtidytable0.10.2.9successhttps://fastverse.r-universe.devhttps://github.com/markfairbanks/tidytable[fastverse] fastmap 1.1.1.9000winston@posit.co (Winston Chang)Fast implementation of data structures, including a key-value
store, stack, and queue. Environments are commonly used as key-value stores
in R, but every time a new key is used, it is added to R's global symbol
table, causing a small amount of memory leakage. This can be problematic in
cases where many different keys are used. Fastmap avoids this memory leak
issue by implementing the map using data structures in C++.https://github.com/r-universe/fastverse/actions/runs/6741164418Fri, 03 Nov 2023 03:17:14 GMTfastmap1.1.1.9000successhttps://fastverse.r-universe.devhttps://github.com/r-lib/fastmap[fastverse] fastmatrix 0.5-7felipe.osorios@usm.cl (Felipe Osorio)Small set of functions to fast computation of some matrices and operations
useful in statistics and econometrics. Currently, there are functions for efficient
computation of duplication, commutation and symmetrizer matrices with minimal storage
requirements. Some commonly used matrix decompositions (LU and LDL), basic matrix
operations (for instance, Hadamard, Kronecker products and the Sherman-Morrison formula)
and iterative solvers for linear systems are also available. In addition, the package
includes a number of common statistical procedures such as the sweep operator, weighted
mean and covariance matrix using an online algorithm, linear regression (using Cholesky,
QR, SVD, sweep operator and conjugate gradients methods), ridge regression (with optimal
selection of the ridge parameter considering several procedures), omnibus tests for
univariate normality, functions to compute the multivariate skewness, kurtosis, the
Mahalanobis distance (checking the positive defineteness), and the Wilson-Hilferty
transformation of chi squared variables. Furthermore, the package provides interfaces
to C code callable by another C code from other R packages.https://github.com/r-universe/fastverse/actions/runs/6735275819Thu, 02 Nov 2023 14:59:44 GMTfastmatrix0.5-7successhttps://fastverse.r-universe.devhttps://github.com/faosorios/fastmatrix[fastverse] dtplyr 1.3.1.9000hadley@posit.co (Hadley Wickham)Provides a data.table backend for 'dplyr'. The goal of
'dtplyr' is to allow you to write 'dplyr' code that is automatically
translated to the equivalent, but usually much faster, data.table
code.https://github.com/r-universe/fastverse/actions/runs/6735277460Thu, 02 Nov 2023 14:10:04 GMTdtplyr1.3.1.9000successhttps://fastverse.r-universe.devhttps://github.com/tidyverse/dtplyrtranslation.Rmdtranslation.htmltranslation2019-06-25 19:51:322023-02-27 16:02:45[fastverse] vctrs 0.6.4.9000davis@posit.co (Davis Vaughan)Defines new notions of prototype and size that are used to
provide tools for consistent and well-founded type-coercion and
size-recycling, and are in turn connected to ideas of type- and
size-stability useful for analysing function interfaces.https://github.com/r-universe/fastverse/actions/runs/6733738394Thu, 02 Nov 2023 13:53:12 GMTvctrs0.6.4.9000successhttps://fastverse.r-universe.devhttps://github.com/r-lib/vctrspillar.Rmdpillar.htmlPrinting vectors nicely in tibbles2020-03-20 21:01:162022-06-08 15:16:11type-size.Rmdtype-size.htmlPrototypes and sizes2018-10-31 22:12:132023-10-10 19:06:41s3-vector.Rmds3-vector.htmlS3 vectors2018-08-13 23:48:272023-10-10 19:07:11stability.Rmdstability.htmlType and size stability2018-10-30 21:50:502023-02-24 21:06:05[fastverse] geos 0.2.3.9000dewey@fishandwhistle.net (Dewey Dunnington)Provides an R API to the Open Source Geometry Engine
('GEOS') library (<https://libgeos.org/>) and a vector format
with which to efficiently store 'GEOS' geometries. High-performance functions
to extract information from, calculate relationships between, and
transform geometries are provided. Finally, facilities to import
and export geometry vectors to other spatial formats are provided.https://github.com/r-universe/fastverse/actions/runs/6868466596Sun, 15 Oct 2023 02:11:39 GMTgeos0.2.3.9000successhttps://fastverse.r-universe.devhttps://github.com/paleolimbot/geos[fastverse] hutilscpp 0.10.2hugh.parsonage@gmail.com (Hugh Parsonage)Provides utility functions that are simply, frequently used,
but may require higher performance that what can be obtained from base R.
Incidentally provides support for 'reverse geocoding', such as matching a point
with its nearest neighbour in another array. Used as a complement to package
'hutils' by sacrificing compilation or installation time for higher running
speeds. The name is a portmanteau of the author and 'Rcpp'.https://github.com/r-universe/fastverse/actions/runs/6820980138Wed, 11 Oct 2023 04:32:01 GMThutilscpp0.10.2successhttps://fastverse.r-universe.devhttps://github.com/hughparsonage/hutilscpp[fastverse] lubridate 1.9.2.9000spinuvit@gmail.com (Vitalie Spinu)Functions to work with date-times and time-spans: fast and
user friendly parsing of date-time data, extraction and updating of
components of a date-time (years, months, days, hours, minutes, and
seconds), algebraic manipulation on date-time and time-span objects.
The 'lubridate' package has a consistent and memorable syntax that
makes working with dates easy and fun.https://github.com/r-universe/fastverse/actions/runs/6781267584Sun, 08 Oct 2023 21:34:14 GMTlubridate1.9.2.9000successhttps://fastverse.r-universe.devhttps://github.com/tidyverse/lubridatelubridate.Rmdlubridate.htmlDo more with dates and times in R2013-07-24 15:13:162020-12-11 14:38:59[fastverse] dqrng 0.3.1.5ralf.stubner@gmail.com (Ralf Stubner)Several fast random number generators are provided as C++
header only libraries: The PCG family by O'Neill (2014
<https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as
the Xoroshiro / Xoshiro family by Blackman and Vigna (2021
<doi:10.1145/3460772>). In addition fast functions for generating random
numbers according to a uniform, normal and exponential distribution
are included. The latter two use the Ziggurat algorithm originally
proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>).
The fast sampling methods support unweighted sampling both with and without
replacement. These functions are exported to R and as a C++ interface and are
enabled for use with the default 64 bit generator from the PCG family,
Xoroshiro128+/++ and Xoshiro256+/++ as well as the 64 bit version of the 20
rounds Threefry engine (Salmon et al., 2011, <doi:10.1145/2063384.2063405>) as
provided by the package 'sitmo'.https://github.com/r-universe/fastverse/actions/runs/6767789810Sat, 07 Oct 2023 13:45:55 GMTdqrng0.3.1.5successhttps://fastverse.r-universe.devhttps://github.com/daqana/dqrngcpp-api.Rmdcpp-api.htmlC++ API2019-04-22 11:25:082023-09-21 20:21:10dqrng.Rmddqrng.htmlFast Pseudo Random Number Generators for R2018-04-19 20:06:372023-10-07 13:45:55sample.Rmdsample.htmlFast sampling methods2023-07-30 16:36:152023-08-30 16:28:31parallel.Rmdparallel.htmlParallel RNG usage2018-06-08 17:08:422023-10-07 13:45:55[fastverse] vroom 1.6.4.9000jenny@posit.co (Jennifer Bryan)The goal of 'vroom' is to read and write data (like 'csv',
'tsv' and 'fwf') quickly. When reading it uses a quick initial
indexing step, then reads the values lazily , so only the data you
actually use needs to be read. The writer formats the data in
parallel and writes to disk asynchronously from formatting.https://github.com/r-universe/fastverse/actions/runs/6766659498Sat, 07 Oct 2023 00:15:30 GMTvroom1.6.4.9000successhttps://fastverse.r-universe.devhttps://github.com/tidyverse/vroomvroom.Rmdvroom.htmlGet started with vroom2019-03-22 16:55:162023-10-07 00:15:30benchmarks.Rmdbenchmarks.htmlVroom Benchmarks2019-02-19 20:52:382022-09-30 05:09:52[fastverse] matrixTests 0.2.3karolis.koncevicius@gmail.com (Karolis Koncevičius)Functions to perform fast statistical hypothesis tests on rows/columns of matrices.
The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use,
3) compatibility with tests implemented in R (like those available in the 'stats' package).https://github.com/r-universe/fastverse/actions/runs/6759787808Fri, 06 Oct 2023 06:50:28 GMTmatrixTests0.2.3successhttps://fastverse.r-universe.devhttps://github.com/karoliskoncevicius/matrixTests[fastverse] odin 1.5.9rich.fitzjohn@gmail.com (Rich FitzJohn)Generate systems of ordinary differential equations
(ODE) and integrate them, using a domain specific language
(DSL). The DSL uses R's syntax, but compiles to C in order to
efficiently solve the system. A solver is not provided, but
instead interfaces to the packages 'deSolve' and 'dde' are
generated. With these, while solving the differential equations,
no allocations are done and the calculations remain entirely in
compiled code. Alternatively, a model can be transpiled to R for
use in contexts where a C compiler is not present. After
compilation, models can be inspected to return information about
parameters and outputs, or intermediate values after calculations.
'odin' is not targeted at any particular domain and is suitable
for any system that can be expressed primarily as mathematical
expressions. Additional support is provided for working with
delays (delay differential equations, DDE), using interpolated
functions during interpolation, and for integrating quantities
that represent arrays.https://github.com/r-universe/fastverse/actions/runs/6742169115Wed, 04 Oct 2023 08:58:16 GMTodin1.5.9successhttps://fastverse.r-universe.devhttps://github.com/mrc-ide/odindebugging.Rmddebugging.htmldebugging2023-03-02 13:53:362023-03-02 13:53:36guide.Rmdguide.htmlGuide to odin docs2023-08-09 08:22:532023-08-09 08:22:53odin.Rmdodin.htmlodin2016-03-09 11:26:302023-05-03 10:59:44discrete.Rmddiscrete.htmlodin discrete models2018-03-01 17:10:382022-10-26 13:14:09functions.Rmdfunctions.htmlodin functions2020-05-26 14:50:202022-10-26 13:14:09[fastverse] nanotime 0.3.7.4edd@debian.org (Dirk Eddelbuettel)Full 64-bit resolution date and time functionality with
nanosecond granularity is provided, with easy transition to and from
the standard 'POSIXct' type. Three additional classes offer interval,
period and duration functionality for nanosecond-resolution timestamps.https://github.com/r-universe/fastverse/actions/runs/6715747382Mon, 02 Oct 2023 02:15:55 GMTnanotime0.3.7.4successhttps://fastverse.r-universe.devhttps://github.com/eddelbuettel/nanotimenanotime-introduction.Rnwnanotime-introduction.pdfIntroduction to nanotime2020-07-21 11:11:372020-07-21 11:11:37[fastverse] kit 0.0.15morgan.emailbox@gmail.com (Morgan Jacob)Basic functions, implemented in C, for large data manipulation. Fast vectorised ifelse()/nested if()/switch() functions, psum()/pprod() functions equivalent to pmin()/pmax() plus others which are missing from base R. Most of these functions are callable at C level.https://github.com/r-universe/fastverse/actions/runs/6703069514Sun, 01 Oct 2023 09:25:15 GMTkit0.0.15successhttps://fastverse.r-universe.devhttps://github.com/2005m/kit[fastverse] xts 0.13.1.2josh.m.ulrich@gmail.com (Joshua M. Ulrich)Provide for uniform handling of R's different time-based
data classes by extending zoo, maximizing native format
information preservation and allowing for user level
customization and extension, while simplifying cross-class
interoperability.https://github.com/r-universe/fastverse/actions/runs/6977070207Mon, 25 Sep 2023 16:28:02 GMTxts0.13.1.2successhttps://fastverse.r-universe.devhttps://github.com/joshuaulrich/xtsxts-faq.Rnwxts-faq.pdfxts FAQ2013-08-25 14:06:422023-08-02 16:51:24xts.Rnwxts.pdfxts: Extensible Time Series2013-08-25 14:06:422019-05-12 15:24:02[fastverse] fastverse 0.3.2sebastian.krantz@graduateinstitute.ch (Sebastian Krantz)Easy installation, loading and management, of high-performance packages
for statistical computing and data manipulation in R.
The core 'fastverse' consists of 4 packages: 'data.table', 'collapse',
'kit' and 'magrittr', that jointly only depend on 'Rcpp'.
The 'fastverse' can be freely and permanently extended with
additional packages, both globally or for individual projects.
Separate package verses can also be created. Fast packages
for many common tasks such as time series, dates and times, strings,
spatial data, statistics, data serialization, larger-than-memory
processing, and compilation of R code are listed in the README file:
<https://github.com/fastverse/fastverse#suggested-extensions>.https://github.com/r-universe/fastverse/actions/runs/6716913380Fri, 22 Sep 2023 21:49:51 GMTfastverse0.3.2successhttps://fastverse.r-universe.devhttps://github.com/fastverse/fastversefastverse_intro.Rmdfastverse_intro.htmlIntroduction to the *fastverse*2021-08-04 11:47:102023-01-29 00:33:05[fastverse] anytime 0.3.9.5edd@debian.org (Dirk Eddelbuettel)Convert input in any one of character, integer, numeric, factor,
or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of
predefined formats, and relying on Boost facilities for date and time parsing.https://github.com/r-universe/fastverse/actions/runs/6911910893Tue, 19 Sep 2023 00:20:04 GMTanytime0.3.9.5successhttps://fastverse.r-universe.devhttps://github.com/eddelbuettel/anytimeanytime-introduction.Rnwanytime-introduction.pdfIntroduction to anytime2019-06-16 17:14:512019-06-16 17:14:51[fastverse] duckdb 0.8.1hannes@cwi.nl (Hannes Mühleisen)The DuckDB project is an embedded analytical data
management system with support for the Structured Query Language (SQL). This package includes all of
DuckDB and a R Database Interface (DBI) connector.https://github.com/r-universe/fastverse/actions/runs/6753440309Tue, 05 Sep 2023 08:57:19 GMTduckdb0.8.1successhttps://fastverse.r-universe.devhttps://github.com/duckdb/duckdb[fastverse] snakecase 0.11.1malte.grosser@gmail.com (Malte Grosser)A consistent, flexible and easy to use tool to parse and
convert strings into cases like snake or camel among others.https://github.com/r-universe/fastverse/actions/runs/6925794655Sun, 27 Aug 2023 20:29:22 GMTsnakecase0.11.1successhttps://fastverse.r-universe.devhttps://github.com/Tazinho/snakecasecaseconverters.Rmdcaseconverters.htmlCaseconverters2017-03-23 22:15:562018-03-25 22:05:52introducing-the-snakecase-package.Rmdintroducing-the-snakecase-package.htmlIntroducing the snakecase package2019-05-22 21:10:212019-05-22 21:10:21[fastverse] MatrixExtra 0.1.14david.cortes.rivera@gmail.com (David Cortes)Extends sparse matrix and vector classes from the 'Matrix' package by providing:
(a) Methods and operators that work natively on CSR formats (compressed sparse row,
a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(),
mathematical operators for CSR and COO such as addition ("+") or sqrt(), and methods such as diag();
(b) Multi-threaded matrix multiplication and cross-product for many <sparse, dense> types,
including the 'float32' type from 'float';
(c) Coercion methods between pairs of classes which are not present in 'Matrix',
such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions;
(d) Utility functions for sparse matrices such as sorting the indices or removing
zero-valued entries;
(e) Fast transposes that work by outputting in the opposite storage format;
(f) Faster replacements for many 'Matrix' methods for all sparse types, such as
slicing and elementwise multiplication.
(g) Convenience functions for sparse objects, such as 'mapSparse' or a shorter 'show' method.https://github.com/r-universe/fastverse/actions/runs/6912592233Sun, 20 Aug 2023 18:49:50 GMTMatrixExtra0.1.14successhttps://fastverse.r-universe.devhttps://github.com/david-cortes/MatrixExtraIntroducing_MatrixExtra.RmdIntroducing_MatrixExtra.htmlIntroducing_MatrixExtra2021-04-13 21:10:162022-08-15 21:08:37[fastverse] cpp11 0.4.6.9000davis@posit.co (Davis Vaughan)Provides a header only, C++11 interface to R's C
interface. Compared to other approaches 'cpp11' strives to be safe
against long jumps from the C API as well as C++ exceptions, conform
to normal R function semantics and supports interaction with 'ALTREP'
vectors.https://github.com/r-universe/fastverse/actions/runs/6794679246Thu, 10 Aug 2023 13:57:39 GMTcpp110.4.6.9000successhttps://fastverse.r-universe.devhttps://github.com/r-lib/cpp11converting.Rmdconverting.htmlConverting from Rcpp2020-06-10 20:09:102023-06-28 12:59:16internals.Rmdinternals.htmlcpp11 internals2020-06-10 20:09:102023-08-03 13:09:58FAQ.RmdFAQ.htmlFAQ2021-07-02 14:59:002023-07-28 14:15:30cpp11.Rmdcpp11.htmlGet started with cpp112020-06-10 20:09:102023-06-28 12:59:16motivations.Rmdmotivations.htmlMotivations for cpp112020-06-10 20:09:102022-10-11 09:06:05[fastverse] Rfast2 0.1.5.1rfastofficial@gmail.com (Manos Papadakis)A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions.https://github.com/r-universe/fastverse/actions/runs/6912592252Fri, 21 Jul 2023 10:48:12 GMTRfast20.1.5.1successhttps://fastverse.r-universe.devhttps://github.com/RfastOfficial/Rfast2[fastverse] tidyfst 1.7.7huang.tian-yuan@qq.com (Tian-Yuan Huang)A toolkit of tidy data manipulation verbs with 'data.table' as the backend.
Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table',
'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain.
This package is an extension of 'data.table'. While enjoying a tidy syntax,
it also wraps combinations of efficient functions to facilitate frequently-used data operations.https://github.com/r-universe/fastverse/actions/runs/6845910853Fri, 21 Jul 2023 08:21:49 GMTtidyfst1.7.7successhttps://fastverse.r-universe.devhttps://github.com/hope-data-science/tidyfstchinese_tutorial.Rmdchinese_tutorial.htmlchinese_tutorial2020-03-14 02:33:142020-05-02 22:55:01english_tutorial.Rmdenglish_tutorial.htmlenglish_tutorial2020-03-24 10:26:492022-08-26 08:01:06example1_intro.Rmdexample1_intro.htmlExample 1: Basic usage2020-02-15 02:44:012022-04-27 08:04:49example2_join.Rmdexample2_join.htmlExample 2: Join tables2020-02-15 02:44:012022-04-27 08:04:49example3_reshape.Rmdexample3_reshape.htmlExample 3: Reshape2020-02-15 02:44:012022-04-27 08:04:49example4_nest.Rmdexample4_nest.htmlExample 4: Nest2020-02-15 02:44:012022-04-27 08:04:49example5_fst.Rmdexample5_fst.htmlExample 5: Fst2020-02-27 03:28:192022-04-27 08:04:49example6_dt.Rmdexample6_dt.htmlExample 6: Dt2020-03-04 04:13:112022-04-27 08:04:49benchmark.Rmdbenchmark.htmlPerformance2020-07-11 07:15:482020-07-11 07:15:48[fastverse] JuliaCall 0.17.5cxl508@psu.edu (Changcheng Li)Provides an R interface to 'Julia',
which is a high-level, high-performance dynamic programming language
for numerical computing, see <https://julialang.org/> for more information.
It provides a high-level interface as well as a low-level interface.
Using the high level interface, you could call any 'Julia' function just like
any R function with automatic type conversion. Using the low level interface,
you could deal with C-level SEXP directly while enjoying the convenience of
using a high-level programming language like 'Julia'.https://github.com/r-universe/fastverse/actions/runs/6820980224Thu, 13 Jul 2023 16:17:34 GMTJuliaCall0.17.5successhttps://fastverse.r-universe.devhttps://github.com/Non-Contradiction/JuliaCallJulia_in_RMarkdown.RmdJulia_in_RMarkdown.htmlJulia in RMarkdown2017-11-16 02:41:072017-11-16 02:41:07JuliaCall_in_Jupyter_R_Notebook.RmdJuliaCall_in_Jupyter_R_Notebook.htmlJuliaCall in Jupyter R Notebook2017-09-20 01:03:012017-10-12 02:19:40[fastverse] fastmatch 1.1-4simon.urbanek@r-project.org (Simon Urbanek)Package providing a fast match() replacement for cases
that require repeated look-ups. It is slightly faster that R's
built-in match() function on first match against a table, but
extremely fast on any subsequent lookup as it keeps the hash
table in memory.https://github.com/r-universe/fastverse/actions/runs/6820980133Tue, 13 Jun 2023 04:43:45 GMTfastmatch1.1-4successhttps://fastverse.r-universe.devhttps://github.com/s-u/fastmatch[fastverse] timechange 0.2.0.9000spinuvit@gmail.com (Vitalie Spinu)Efficient routines for manipulation of date-time objects while
accounting for time-zones and daylight saving times. The package includes
utilities for updating of date-time components (year, month, day etc.),
modification of time-zones, rounding of date-times, period addition and
subtraction etc. Parts of the 'CCTZ' source code, released under the Apache
2.0 License, are included in this package. See
<https://github.com/google/cctz> for more details.https://github.com/r-universe/fastverse/actions/runs/6868466640Mon, 29 May 2023 15:07:41 GMTtimechange0.2.0.9000successhttps://fastverse.r-universe.devhttps://github.com/vspinu/timechange[fastverse] clock 0.7.0.9000davis@posit.co (Davis Vaughan)Provides a comprehensive library for date-time manipulations
using a new family of orthogonal date-time classes (durations, time
points, zoned-times, and calendars) that partition responsibilities so
that the complexities of time zones are only considered when they are
really needed. Capabilities include: date-time parsing, formatting,
arithmetic, extraction and updating of components, and rounding.https://github.com/r-universe/fastverse/actions/runs/6845910875Mon, 15 May 2023 19:16:18 GMTclock0.7.0.9000successhttps://fastverse.r-universe.devhttps://github.com/r-lib/clockrecipes.Rmdrecipes.htmlExamples and Recipes2021-02-11 22:56:092023-05-01 14:53:46faq.Rmdfaq.htmlFrequently Asked Questions2021-02-10 21:18:292023-05-01 14:53:46clock.Rmdclock.htmlGetting Started2021-02-12 22:49:262021-10-20 15:58:35[fastverse] table.express 0.4.2alexis.sarda@gmail.com (Alexis Sarda-Espinosa)A specialization of 'dplyr' data manipulation verbs that
parse and build expressions which are ultimately evaluated by
'data.table', letting it handle all optimizations. A set of
additional verbs is also provided to facilitate some common
operations on a subset of the data.https://github.com/r-universe/fastverse/actions/runs/7014457033Sun, 02 Apr 2023 21:59:41 GMTtable.express0.4.2successhttps://fastverse.r-universe.devhttps://github.com/asardaes/table.expressjoins.Rmdjoins.htmlJoining verbs for data.table2019-06-20 22:15:172021-11-30 20:08:57table.express.Rmdtable.express.htmlUsing table.express2019-05-12 19:55:422022-08-24 21:46:57[fastverse] magrittr 2.0.3.9000lionel@posit.co (Lionel Henry)Provides a mechanism for chaining commands with a new
forward-pipe operator, %>%. This operator will forward a value, or the
result of an expression, into the next function call/expression.
There is flexible support for the type of right-hand side expressions.
For more information, see package vignette. To quote Rene Magritte,
"Ceci n'est pas un pipe."https://github.com/r-universe/fastverse/actions/runs/6741492099Wed, 08 Mar 2023 13:30:31 GMTmagrittr2.0.3.9000successhttps://fastverse.r-universe.devhttps://github.com/tidyverse/magrittrtradeoffs.Rmdtradeoffs.htmlDesign tradeoffs2018-07-03 15:45:052020-11-03 15:38:33magrittr.Rmdmagrittr.htmlIntroducing magrittr2014-02-24 16:42:302020-11-12 08:18:02[fastverse] r2c 0.2.0brodie.gaslam@yahoo.com (Brodie Gaslam)Compiles a subset of R into machine code so that expressions
composed with that subset can be applied repeatedly on varying data without
interpreter overhead.https://github.com/r-universe/fastverse/actions/runs/6728531785Tue, 07 Mar 2023 11:17:43 GMTr2c0.2.0successhttps://fastverse.r-universe.devhttps://github.com/brodieG/r2c[fastverse] JuliaConnectoR 1.1.1.9000stefan-m-lenz@web.de (Stefan Lenz)Allows to import functions and whole packages from 'Julia' in R.
Imported 'Julia' functions can directly be called as R functions.
Data structures can be translated between 'Julia' and R.
More details can also be found in the corresponding article
<doi:10.18637/jss.v101.i06>.https://github.com/r-universe/fastverse/actions/runs/6845910828Thu, 16 Feb 2023 11:45:16 GMTJuliaConnectoR1.1.1.9000successhttps://fastverse.r-universe.devhttps://github.com/stefan-m-lenz/JuliaConnectoR[fastverse] fst 0.9.9markklik@gmail.com (Mark Klik)Multithreaded serialization of compressed data frames using the 'fst' format. The
'fst' format allows for full random access of stored data and a wide range of compression
settings using the LZ4 and ZSTD compressors.https://github.com/r-universe/fastverse/actions/runs/6780371266Wed, 11 Jan 2023 14:12:42 GMTfst0.9.9successhttps://fastverse.r-universe.devhttps://github.com/fstpackage/fst[fastverse] tidyft 0.4.5huang.tian-yuan@qq.com (Tian-Yuan Huang)Tidy syntax for 'data.table', using modification by reference whenever possible.
This toolkit is designed for big data analysis in high-performance desktop or laptop computers.
The syntax of the package is similar or identical to 'tidyverse'.
It is user friendly, memory efficient and time saving. For more information,
check its ancestor package 'tidyfst'.https://github.com/r-universe/fastverse/actions/runs/6780253496Wed, 11 Jan 2023 06:37:12 GMTtidyft0.4.5failurehttps://fastverse.r-universe.devhttps://github.com/hope-data-science/tidyft[fastverse] inline 0.3.19.1edd@debian.org (Dirk Eddelbuettel)Functionality to dynamically define R functions and S4 methods
with 'inlined' C, C++ or Fortran code supporting the .C and .Call calling
conventions.https://github.com/r-universe/fastverse/actions/runs/6728435688Wed, 07 Dec 2022 15:12:46 GMTinline0.3.19.1successhttps://fastverse.r-universe.devhttps://github.com/eddelbuettel/inline[fastverse] tidyCpp 0.0.6.1edd@debian.org (Dirk Eddelbuettel)Core parts of the C API of R are wrapped in a C++ namespace via a set
of inline functions giving a tidier representation of the underlying data structures
and functionality using a header-only implementation without additional dependencies.https://github.com/r-universe/fastverse/actions/runs/6715747444Tue, 06 Dec 2022 00:04:51 GMTtidyCpp0.0.6.1successhttps://fastverse.r-universe.devhttps://github.com/eddelbuettel/tidycppmotivation.mdmotivation.htmltidyCpp Motivation2021-11-20 14:40:092021-12-06 13:52:31