CRAN: Package sparseMVN

sparseMVN: Multivariate Normal Functions for Sparse Covariance and Precision Matrices

Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.

Version: 0.2.2

Depends: R (≥ 3.4.0)

Imports: Matrix (≥ 1.3), methods

Suggests: dplyr (≥ 1.0), tidyr (≥ 1.1), ggplot2 (≥ 3.3), forcats (≥ 0.5), mvtnorm (≥ 1.0.6) , knitr, bookdown, kableExtra, testthat, scales, trustOptim (≥ 0.8.5)

Published: 2021年10月25日

DOI: 10.32614/CRAN.package.sparseMVN

Author: Michael Braun ORCID iD [aut, cre, cph]

Maintainer: Michael Braun <braunm at smu.edu>

BugReports: https://github.com/braunm/sparseMVN/issues/

License: MPL (≥ 2.0)

URL: https://braunm.github.io/sparseMVN/, https://github.com/braunm/sparseMVN/

NeedsCompilation: no

Materials: NEWS

In views: Distributions

CRAN checks: sparseMVN results

Documentation:

Reference manual: sparseMVN.html , sparseMVN.pdf

Vignettes: The sparseMVN package (source, R code)

Downloads:

Package source: sparseMVN_0.2.2.tar.gz

Windows binaries: r-devel: sparseMVN_0.2.2.zip, r-release: sparseMVN_0.2.2.zip, r-oldrel: sparseMVN_0.2.2.zip

macOS binaries: r-release (arm64): sparseMVN_0.2.2.tgz, r-oldrel (arm64): sparseMVN_0.2.2.tgz, r-release (x86_64): sparseMVN_0.2.2.tgz, r-oldrel (x86_64): sparseMVN_0.2.2.tgz

Old sources: sparseMVN archive

Reverse dependencies:

Reverse imports: ar.matrix, bage, bgsmtr, disaggregation, netprioR, scDesign3, sparseCov, spsur

Linking:

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