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r-sbgcop

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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.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-sbgcop

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About

Summary

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.

Last Updated

Oct 15, 2019 at 17:03

License

GPL-2

Total Downloads

1

Version Downloads

1

Supported Platforms

noarch