Learn R Programming

mvtnorm (version 1.4-2)

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.

Copy Link

Version

Install

install.packages('mvtnorm')

Monthly Downloads

434,508

Version

1.4-2

License

GPL-2

Maintainer

Torsten Hothorn

Last Published

July 12th, 2026

Functions in mvtnorm (1.4-2)

algorithms

Choice of Algorithm and Hyper Parameters
margcond

Marginal and Conditional Multivariate Normal Distributions
qmvnorm

Quantiles of the Multivariate Normal Distribution
interface

User Interface to Multiple Multivariate Normal Distributions
lpRR

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

Multiple Lower Triangular or Symmetric Matrices
pmvt

Multivariate t Distribution
qmvt

Quantiles of the Multivariate t Distribution
lpmvnorm

Multivariate Normal Log-likelihood and Score Functions
mvtnorm-package

tools:::Rd_package_title("mvtnorm")
pmvnorm

Multivariate Normal Distribution
Mvnorm

Multivariate Normal Density and Random Deviates
Mvt

The Multivariate t Distribution