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sbgcop (version 1.0)

Semiparametric Bayesian Gaussian Copula Estimation and Imputation

Description

Estimation and inference for parameters in a Gaussian copula model, treating the univariate marginal distributions as nuisance parameters as described in Hoff (2007) . This package also provides a semiparametric imputation procedure for missing multivariate data.

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Version

Install

install.packages('sbgcop')

Monthly Downloads

226

Version

1.0

License

GPL (>= 2)

Maintainer

Peter Hoff

Last Published

June 19th, 2025

Functions in sbgcop (1.0)

ldmvnorm

Log Multivariate Normal Density
plotci.sA

Plot Confidence Bands for Association Parameters
sbgcop-package

Semiparametric Bayesian Gaussian Copula Estimation and Imputation
rwish

Sample from the Wishart Distribution
qM.sM

Matrix Quantiles
sbgcop.mcmc

Semiparametric Bayesian Gaussian copula estimation and imputation
sR.sC

Compute Regression Parameters