Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.
| Version: | 0.2.1.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | Matrix (≥ 1.2.12), methods |
| Suggests: | mvtnorm (≥ 1.0.6), plyr, knitr, testthat, dplyr (≥ 0.5.0), scales, reshape2, trustOptim (≥ 0.8.5), xtable (≥ 1.8), ggplot2 (≥ 2.2.1), tidyr (≥ 0.6.1) |
| Published: | 2018-03-26 |
| Author: | Michael Braun [aut, cre, cph] |
| Maintainer: | Michael Braun <braunm at smu.edu> |
| License: | MPL (≥ 2.0) |
| URL: | http://www.smu.edu/Cox/Departments/FacultyDirectory/BraunMichael |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Distributions |
| CRAN checks: | sparseMVN results |
| Reference manual: | sparseMVN.pdf |
| Vignettes: |
Using sparseMVN |
| Package source: | sparseMVN_0.2.1.1.tar.gz |
| Windows binaries: | r-devel: sparseMVN_0.2.1.1.zip, r-release: sparseMVN_0.2.1.1.zip, r-oldrel: sparseMVN_0.2.1.1.zip |
| macOS binaries: | r-release: sparseMVN_0.2.1.1.tgz, r-oldrel: sparseMVN_0.2.1.1.tgz |
| Old sources: | sparseMVN archive |
| Reverse imports: | ar.matrix, bgsmtr, disaggregation, netprioR, spsur |
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