A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. These functions are mainly for tutorial purposes in learning matrix algebra ideas using R. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or name is not obvious. In other cases, functions are provided to show or demonstrate an algorithm.
| Version: | 0.5.2 |
| Imports: | rgl |
| Suggests: | MASS, knitr, rmarkdown |
| Published: | 2015-11-19 |
| Author: | Michael Friendly [aut, cre], John Fox [ctb], Georges Monette [ctb] |
| Maintainer: | Michael Friendly <friendly at yorku.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/friendly/matlib |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | matlib results |
| Reference manual: | matlib.pdf |
| Vignettes: |
Eigenvalues and Eigenvectors: Properties Eigenvalues: Spectral Decomposition Gram-Schmidt Orthogonalization and Regression Solving Linear Equations |
| Package source: | matlib_0.5.2.tar.gz |
| Windows binaries: | r-devel: matlib_0.5.1.zip, r-release: matlib_0.5.1.zip, r-oldrel: matlib_0.5.1.zip |
| OS X Snow Leopard binaries: | r-release: not available, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: matlib_0.4.1.tgz |
| Old sources: | matlib archive |