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sbgcop  

Semiparametric Bayesian Gaussian Copula Estimation and Imputation
View on CRAN: Click here


Download and install sbgcop package within the R console
Install from CRAN:
install.packages("sbgcop")

Install from Github:
library("remotes")
install_github("cran/sbgcop")

Install by package version:
library("remotes")
install_version("sbgcop", "0.980")



Attach the package and use:
library("sbgcop")
Maintained by
Peter Hoff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-03-09
Latest Update: 2018-05-29
Description:
Estimation and inference for parameters in a Gaussian copula model, treating the univariate marginal distributions as nuisance parameters as described in Hoff (2007) . This package also provides a semiparametric imputation procedure for missing multivariate data.
How to cite:
Peter Hoff (2007). sbgcop: Semiparametric Bayesian Gaussian Copula Estimation and Imputation. R package version 0.980, https://cran.r-project.org/web/packages/sbgcop. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.95 (2007-03-09 22:17), 0.975 (2012-10-29 08:59)
Other packages that cited sbgcop R package
View sbgcop citation profile
Other R packages that sbgcop depends, imports, suggests or enhances
Complete documentation for sbgcop
Functions, R codes and Examples using the sbgcop R package
Some associated functions: ldmvnorm . plotci.sA . qM.sM . rwish . sR.sC . sbgcop-package . sbgcop.mcmc . 
Some associated R codes: ldmvnorm.R . plot.psgc.R . plotci.sA.R . print.sum.psgc.R . qM.sM.R . rwish.R . sR.sC.R . sbgcop-package.R . sbgcop.mcmc.R . summary.psgc.R .  Full sbgcop package functions and examples
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