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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 |
| 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 |
| Reference manual: | sbgcop.pdf |
| 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 imports: | mpower |
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