Description: Provides core visualisations and summaries for the CRAN package database. The package provides comprehensive methods for cleaning up and organising the information in the CRAN package database, for building package directives networks (depends, imports, suggests, enhances, linking to) and collaboration networks, producing package dependence trees, and for computing useful summaries and producing interactive visualisations from the resulting networks. The package also provides functions to coerce the networks to 'igraph' <https://CRAN.R-project.org/package=igraph> objects for further analyses and modelling.

Description: Core visualizations and summaries for the CRAN package database. The package provides comprehensive methods for cleaning up and organizing the information in the CRAN package database, for building package directives networks (depends, imports, suggests, enhances, linking to) and collaboration networks, producing package dependence trees, and for computing useful summaries and producing interactive visualizations from the resulting networks and summaries. The resulting networks can be coerced to 'igraph' <https://CRAN.R-project.org/package=igraph> objects for further analyses and modelling.

Imports: visNetwork, colorspace, igraph, stringr, ggplot2, countrycode,

Title: Various R tools for http://crantastic.org/
Author: Bjorn Arild Maeland <bjorn.maeland@gmail.com>
Maintainer: Bjorn Arild Maeland <bjorn.maeland@gmail.com>
Description: Various R tools for http://crantastic.org/

Title: Conditional Random Sampling Sparse Matrices
Description: Conducts conditional random sampling on observed values in sparse matrices. Useful for training and test set splitting sparse matrices prior to model fitting in cross-validation procedures and estimating the predictive accuracy of data imputation methods, such as matrix factorization or singular value decomposition (SVD). Although designed for applications with sparse matrices, CRASSMAT can also be applied to complete matrices, as well as to those containing missing values.