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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.

Version: 0.980
Published: 2018-05-29
DOI: 10.32614/CRAN.package.sbgcop
Author: Peter Hoff
Maintainer: Peter Hoff <peter.hoff at duke.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://pdhoff.github.io/
NeedsCompilation: no
In views: Bayesian
CRAN checks: sbgcop results

Documentation:

Reference manual: sbgcop.pdf

Downloads:

Package source: sbgcop_0.980.tar.gz
Windows binaries: r-devel: sbgcop_0.980.zip, r-release: sbgcop_0.980.zip, r-oldrel: sbgcop_0.980.zip
macOS binaries: r-release (arm64): sbgcop_0.980.tgz, r-oldrel (arm64): sbgcop_0.980.tgz, r-release (x86_64): sbgcop_0.980.tgz, r-oldrel (x86_64): sbgcop_0.980.tgz
Old sources: sbgcop archive

Reverse dependencies:

Reverse imports: mpower

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sbgcop to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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