MatrixModels: Modelling with Sparse and Dense Matrices (original) (raw)
Generalized Linear Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.
| Version: | 0.5-4 |
|---|---|
| Depends: | R (≥ 3.6.0) |
| Imports: | stats, methods, Matrix (≥ 1.6-0), Matrix (< 1.8-0) |
| Published: | 2025-03-26 |
| DOI: | 10.32614/CRAN.package.MatrixModels |
| Author: | Douglas Bates  [aut], Martin Maechler [aut, cre] |
| Maintainer: | Martin Maechler <mmaechler+Matrix at gmail.com> |
| Contact: | Matrix-authors@R-project.org |
| BugReports: | https://R-forge.R-project.org/tracker/?func=add&atid=294&group_id=61 |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://Matrix.R-forge.R-project.org/,https://r-forge.r-project.org/R/?group_id=61 |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | MatrixModels results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | RGE |
|---|---|
| Reverse imports: | BayesESS, BayesFactor, diagL1, inlabru, pre, projectR, QTOCen, quantreg, twang |
| Reverse suggests: | abn, BayesfMRI, car, ClassifyR |
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