mvtnorm: Multivariate Normal and t Distributions

Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.

Package details

AuthorAlan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] (<https://orcid.org/0000-0002-6294-8185>), Martin Maechler [ctb] (<https://orcid.org/0000-0002-8685-9910>), Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
MaintainerTorsten Hothorn <Torsten.Hothorn@R-project.org>
LicenseGPL-2
Version1.2-4
URL http://mvtnorm.R-forge.R-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mvtnorm")

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mvtnorm documentation built on Nov. 27, 2023, 5:11 p.m.