Package: mnorm 1.2.2

mnorm: Multivariate Normal Distribution

Calculates and differentiates probabilities and density of (conditional) multivariate normal distribution and Gaussian copula (with various marginal distributions) using methods described in A. Genz (2004) <doi:10.1023/B:STCO.0000035304.20635.31>, A. Genz, F. Bretz (2009) <doi:10.1007/978-3-642-01689-9>, H. I. Gassmann (2003) <doi:10.1198/1061860032283> and E. Kossova, B. Potanin (2018) <https://ideas.repec.org/a/ris/apltrx/0346.html>.

Authors:Bogdan Potanin [aut, cre, ctb], Sofiia Dolgikh [ctb]

mnorm_1.2.2.tar.gz
mnorm_1.2.2.zip(r-4.5)mnorm_1.2.2.zip(r-4.4)mnorm_1.2.2.zip(r-4.3)
mnorm_1.2.2.tgz(r-4.4-x86_64)mnorm_1.2.2.tgz(r-4.4-arm64)mnorm_1.2.2.tgz(r-4.3-x86_64)mnorm_1.2.2.tgz(r-4.3-arm64)
mnorm_1.2.2.tar.gz(r-4.5-noble)mnorm_1.2.2.tar.gz(r-4.4-noble)
mnorm_1.2.2.tgz(r-4.4-emscripten)mnorm_1.2.2.tgz(r-4.3-emscripten)
mnorm.pdf |mnorm.html
mnorm/json (API)

# Install 'mnorm' in R:
install.packages('mnorm', repos = c('https://bogdanpotanin.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 1.08 score 4 dependencies 3 dependents 13 scripts 435 downloads

Last updated 10 months agofrom:d48293eaee. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-win-x86_64OKSep 09 2024
R-4.5-linux-x86_64OKSep 09 2024
R-4.4-win-x86_64OKSep 09 2024
R-4.4-mac-x86_64OKSep 09 2024
R-4.4-mac-aarch64OKSep 09 2024
R-4.3-win-x86_64OKSep 09 2024
R-4.3-mac-x86_64OKSep 09 2024
R-4.3-mac-aarch64OKSep 09 2024

Exports:cmnormdmnormdt0fromBasehaltonpbetaDiffpmnormpt0qnormFastqt0rmnormrt0seqPrimestoBase

Dependencies:hpaRcppRcppArmadilloRcppParallel