mnormt: The multivariate normal and t distributions

This package provides functions for computing the density and the distribution function of multivariate normal and multivariate "t" variates, and for generating random vectors sampled from these distributions. Probabilities are computed via a non-Monte Carlo method; different routines are used for the case d=1, d=2, d>2, if d denotes the number of dimensions.

Version: 1.5-1
Depends: R (≥ 2.2.0)
Published: 2014-06-30
Author: Fortran code by Alan Genz, R code by Adelchi Azzalini
Maintainer: Adelchi Azzalini <adelchi.azzalini at>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Citation: mnormt citation info
Materials: ChangeLog
In views: Distributions, Multivariate
CRAN checks: mnormt results


Reference manual: mnormt.pdf
Package source: mnormt_1.5-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: mnormt_1.5-1.tgz, r-oldrel: mnormt_1.5-1.tgz
OS X Mavericks binaries: r-release: mnormt_1.5-1.tgz
Old sources: mnormt archive

Reverse dependencies:

Reverse depends: bayesMCClust, bayess, ERP, FAMT, MaXact, PAGWAS, qtlhot, siar, StratSel, Sunder
Reverse imports: bayou, cSFM, csn, EasyABC, FADA, flexCWM, lavaan, mixAK, phytools, pmcgd, sn, tsDyn, VBmix
Reverse suggests: dma, Rgbp