sbgcop: Semiparametric Bayesian Gaussian Copula Estimation and Imputation

Estimation and inference for parameters in a Gaussian copula model, treating the univariate marginal distributions as nuisance parameters as described in Hoff (2007) <doi:10.1214/07-AOAS107>. This package also provides a semiparametric imputation procedure for missing multivariate data.

Package details

AuthorPeter Hoff
MaintainerPeter Hoff <[email protected]>
LicenseGPL (>= 2)
Version0.980
URL http://pdhoff.github.io/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sbgcop")

Try the sbgcop package in your browser

Any scripts or data that you put into this service are public.

sbgcop documentation built on May 29, 2018, 5:04 p.m.