igraph - Network Analysis and Visualization

Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.

Last updated 8 hours ago

complex-networksgraph-algorithmsgraph-theorymathematicsnetwork-analysisnetwork-graphfortranlibxml2glpkopenblascpp

21.14 score 584 stars 1.9k dependents 31k scripts 543k downloads

qs - Quick Serialization of R Objects

Provides functions for quickly writing and reading any R object to and from disk.

Last updated 9 days ago

compressiondata-storageencodingserializationlibzstdlz4cpp

13.05 score 417 stars 51 dependents 2.5k scripts 20k downloads

roll - Rolling and Expanding Statistics

Fast and efficient computation of rolling and expanding statistics for time-series data.

Last updated 2 months ago

algorithmsrcppstatisticsopenblascppopenmp

9.76 score 116 stars 13 dependents 318 scripts 3.8k downloads

snakecase - Convert Strings into any Case

A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.

Last updated 2 years ago

camelcasecaseconversionpascalcasesnake-case

14.01 score 150 stars 291 dependents 744 scripts 262k downloads

exactextractr - Fast Extraction from Raster Datasets using Polygons

Quickly and accurately summarizes raster values over polygonal areas ("zonal statistics").

Last updated 8 months ago

gisrasterrcppgeoscpp

12.13 score 286 stars 14 dependents 1.4k scripts 8.7k downloads

fastmatrix - Fast Computation of some Matrices Useful in Statistics

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 gamma variables. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.

Last updated 1 years ago

commutation-matrixjarque-bera-testldl-factorizationlu-factorizationmatrix-api-for-r-packagesmatrix-normsmodified-choleskyols-regressionpower-methodridge-regressionsherman-morrisonstatisticssweep-operatorsymmetrizer-matrixfortranopenblas

6.36 score 19 stars 11 dependents 37 scripts 2.0k downloads