BayeSens-package: Tools for prior sensitivity analysis with Bayesian MCMC...
In cbrown5/BayeSens: Prior sensitivity analysis for Bayesian MCMC models
Description
The HellingerMCMC provides functions for non-parametric calculation of the Hellinger distance, hellinger, parametric calculation of the Hellinger distnace hdistpara; data cloning with dataclone; and calculating posterior shrinkage with postshrink. Refer to the vignette for more help by typing vignette('BayeSens').
cbrown5/BayeSens documentation built on April 26, 2020, 12:40 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The HellingerMCMC provides functions for non-parametric calculation of the Hellinger distance, hellinger, parametric calculation of the Hellinger distnace hdistpara; data cloning with dataclone; and calculating posterior shrinkage with postshrink. Refer to the vignette for more help by typing vignette('BayeSens').
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.