<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Fast Multivariate Normal and Student's t Methods</dc:title>
  <dc:title>R package mvnfast version 0.2.8</dc:title>
  <dc:subject>CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing)</dc:subject>
  <dc:description>Provides computationally efficient tools related to the
    multivariate normal and Student's t distributions. The main functionalities
    are: simulating multivariate random vectors, evaluating multivariate normal or
    Student's t densities and Mahalanobis distances. These tools are very efficient
    thanks to the use of C++ code and of the OpenMP API.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo, BH</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat, mvtnorm, microbenchmark, MASS,
plyr, RhpcBLASctl</dc:relation>
  <dc:creator>Matteo Fasiolo &lt;matteo.fasiolo@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matteo Fasiolo [aut, cre],
  Thijs van den Berg [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2.0)</dc:rights>
  <dc:date>2023-02-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mvnfast</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mvnfast</dc:identifier>
</oai_dc:dc>
