README.md
In lgaborini/rstanBF: rstanBF computes the Bayes Factor for data in specified two-level hierarchical models
rstanBF
rstanBF computes the Bayes Factor for data in specified two-level
hierarchical models.
It wraps the package
bridgesampling, and
provides methods to compute the Bayes Factor for comparing two sets of
samples.
Documentation
Documentation for the stable version is available
here.
Installation
rstanBF is not yet available on CRAN.
You can install the development version from this repository using
devtools or remotes:
# install.packages('remotes')
remotes::install_github('lgaborini/rstanBF')
Implemented models
The implemented models are:
- Dirichlet-Dirichlet
- Dirichlet-FoldedNormal
- Dirichlet-DirichletGamma
- Normal-Normal
lgaborini/rstanBF documentation built on March 10, 2021, 1:12 p.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
rstanBF
rstanBF computes the Bayes Factor for data in specified two-level hierarchical models.
It wraps the package bridgesampling, and provides methods to compute the Bayes Factor for comparing two sets of samples.
Documentation
Documentation for the stable version is available here.
Installation
rstanBF is not yet available on CRAN.
You can install the development version from this repository using
devtools or remotes:
# install.packages('remotes')
remotes::install_github('lgaborini/rstanBF')
Implemented models
The implemented models are:
- Dirichlet-Dirichlet
- Dirichlet-FoldedNormal
- Dirichlet-DirichletGamma
- Normal-Normal
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.
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