Provides computationally efficient tools related to the multivariate normal distribution. The main functionalities are: simulating multivariate normal random vectors, evaluating multivariate normal densities and Mahalanobis distances. These tools are very efficient thanks to the use of C++ code and of the OpenMP API.
Version: | 0.1.4 |
Imports: | Rcpp (≥ 0.10.4) |
LinkingTo: | Rcpp, RcppArmadillo, BH |
Suggests: | knitr, testthat, mvtnorm, microbenchmark, MASS, plyr |
Published: | 2016-01-08 |
Author: | Matteo Fasiolo, using the C++ parallel RNG of Thijs van den Berg and Ziggurat algorithm of Jens Maurer and Steven Watanabe (boost) |
Maintainer: | Matteo Fasiolo <matteo.fasiolo at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
Copyright: | see file COPYRIGHTS |
URL: | https://github.com/mfasiolo/mvnfast, www.sitmo.com |
NeedsCompilation: | yes |
Citation: | mvnfast citation info |
Materials: | README |
CRAN checks: | mvnfast results |
Reference manual: | mvnfast.pdf |
Vignettes: |
synlik_vignette |
Package source: | mvnfast_0.1.4.tar.gz |
Windows binaries: | r-devel: mvnfast_0.1.4.zip, r-release: mvnfast_0.1.4.zip, r-oldrel: mvnfast_0.1.4.zip |
OS X Snow Leopard binaries: | r-release: mvnfast_0.1.4.tgz, r-oldrel: mvnfast_0.1.3.tgz |
OS X Mavericks binaries: | r-release: mvnfast_0.1.4.tgz |
Old sources: | mvnfast archive |
Reverse depends: | BayesSummaryStatLM |
Reverse imports: | heemod, mmtfa, VARsignR |