Using sparse precision matricies and Choleski factorization simulates data that is auto-regressive.
Version: | 0.1.0 |
Depends: | R (≥ 3.3.0) |
Imports: | MASS, Matrix, sparseMVN, sp |
Suggests: | ggplot2, leaflet |
Published: | 2018-12-02 |
DOI: | 10.32614/CRAN.package.ar.matrix |
Author: | Neal Marquez [aut, cre, cph] |
Maintainer: | Neal Marquez <nmarquez at uw.edu> |
BugReports: | https://github.com/nmmarquez/ar.matrix/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | ar.matrix results |
Reference manual: | ar.matrix.pdf |
Package source: | ar.matrix_0.1.0.tar.gz |
Windows binaries: | r-devel: ar.matrix_0.1.0.zip, r-release: ar.matrix_0.1.0.zip, r-oldrel: ar.matrix_0.1.0.zip |
macOS binaries: | r-release (arm64): ar.matrix_0.1.0.tgz, r-oldrel (arm64): ar.matrix_0.1.0.tgz, r-release (x86_64): ar.matrix_0.1.0.tgz, r-oldrel (x86_64): ar.matrix_0.1.0.tgz |
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