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mniw: The Matrix-Normal Inverse-Wishart Distribution

Density evaluation and random number generation for the Matrix-Normal Inverse-Wishart (MNIW) distribution, as well as the the Matrix-Normal, Matrix-T, Wishart, and Inverse-Wishart distributions. Core calculations are implemented in a portable (header-only) C++ library, with matrix manipulations using the 'Eigen' library for linear algebra. Also provided is a Gibbs sampler for Bayesian inference on a random-effects model with multivariate normal observations.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.6)
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, knitr, rmarkdown
Published: 2022-08-22
Author: Martin Lysy [aut, cre], Bryan Yates [aut]
Maintainer: Martin Lysy <mlysy at uwaterloo.ca>
BugReports: https://github.com/mlysy/mniw/issues
License: GPL-3
URL: https://github.com/mlysy/mniw/
NeedsCompilation: yes
In views: Distributions
CRAN checks: mniw results

Documentation:

Reference manual: mniw.pdf
Vignettes: Distributions provided by mniw

Downloads:

Package source: mniw_1.0.1.tar.gz
Windows binaries: r-devel: mniw_1.0.1.zip, r-release: mniw_1.0.1.zip, r-oldrel: mniw_1.0.1.zip
macOS binaries: r-release (arm64): mniw_1.0.1.tgz, r-oldrel (arm64): mniw_1.0.1.tgz, r-release (x86_64): mniw_1.0.1.tgz, r-oldrel (x86_64): mniw_1.0.1.tgz
Old sources: mniw archive

Reverse dependencies:

Reverse imports: jtdm, tip
Reverse suggests: LMN

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mniw to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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