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mvtnorm (version 1.3-3)

Multivariate Normal and t Distributions

Description

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.

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Version

Install

install.packages('mvtnorm')

Monthly Downloads

284,298

Version

1.3-3

License

GPL-2

Maintainer

Torsten Hothorn

Last Published

January 10th, 2025

Functions in mvtnorm (1.3-3)

mvtnorm-package

tools:::Rd_package_title("mvtnorm")
pmvt

Multivariate t Distribution
qmvt

Quantiles of the Multivariate t Distribution
pmvnorm

Multivariate Normal Distribution
lpRR

Multivariate Normal Log-likelihood and Score Functions for Reduced Rank Covariances
margcond

Marginal and Conditional Multivariate Normal Distributions
qmvnorm

Quantiles of the Multivariate Normal Distribution
interface

(Experimental) User Interface to Multiple Multivariate Normal Distributions
algorithms

Choice of Algorithm and Hyper Parameters
lpmvnorm

Multivariate Normal Log-likelihood and Score Functions
ltMatrices

Multiple Lower Triangular or Symmetric Matrices
Mvnorm

Multivariate Normal Density and Random Deviates
Mvt

The Multivariate t Distribution