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mvst (version 1.1.1)

Bayesian Inference for the Multivariate Skew-t Model

Description

Estimates the multivariate skew-t and nested models, as described in the articles Liseo, B., Parisi, A. (2013). Bayesian inference for the multivariate skew-normal model: a population Monte Carlo approach. Comput. Statist. Data Anal. and in Parisi, A., Liseo, B. (2017). Objective Bayesian analysis for the multivariate skew-t model. Statistical Methods & Applications .

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Version

Install

install.packages('mvst')

Monthly Downloads

169

Version

1.1.1

License

GPL-3

Maintainer

Last Published

December 5th, 2023

Functions in mvst (1.1.1)

dmvSE

Density function for the SE distributions.
bivPlot

Marginal and joint plots for bivariate data.
cmlSE

CML for the parameters of a p-variate Skew-Elliptical model.
mvst-package

tools:::Rd_package_title("mvst")
summary.mcSE

Summary function for mcSE objects.
rmvSE

Random generation from a SE distribution.
coef.mcSEsummary

Extract mcSE Model Coefficients.
mcSE

MC sampler for a p-variate Skew-Elliptical model.
MNmargLike

Marginal Likelihood for the Multivariate Normal Model.