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.html , 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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