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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.

Versions across snapshots

VersionRepositoryFileSize
1.0 rolling linux/jammy R-4.5 sbgcop_1.0.tar.gz 42.2 KiB
1.0 rolling linux/noble R-4.5 sbgcop_1.0.tar.gz 42.3 KiB
1.0 rolling source/ R- sbgcop_1.0.tar.gz 7.3 KiB
1.0 latest linux/jammy R-4.5 sbgcop_1.0.tar.gz 42.2 KiB
1.0 latest linux/noble R-4.5 sbgcop_1.0.tar.gz 42.3 KiB
1.0 latest source/ R- sbgcop_1.0.tar.gz 7.3 KiB
1.0 2026-04-26 source/ R- sbgcop_1.0.tar.gz 7.3 KiB
1.0 2026-04-23 source/ R- sbgcop_1.0.tar.gz 7.3 KiB
1.0 2026-04-09 windows/windows R-4.5 sbgcop_1.0.zip 45.0 KiB
0.980 2025-04-20 source/ R- sbgcop_0.980.tar.gz 7.0 KiB