README.md
In keesmulder/CircGLMBayes: Bayesian Analysis of a Circular GLM
circglmbayes
R Package for a Bayesian Circular GLM
This package contains functions to perform a Bayesian circular GLM, which allows regressing a circular outcome on linear and categorical predictors.
In order to use this package from R, it can be installed from GitHub using the devtools package as
install.packages("devtools")
devtools::install_github("keesmulder/circglmbayes")
For further help on this package, install it as above, attach it with library(circglmbayes) and run help("circglmbayes") or ?circGLM.
keesmulder/CircGLMBayes documentation built on July 21, 2022, 3:43 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.
circglmbayes
R Package for a Bayesian Circular GLM
This package contains functions to perform a Bayesian circular GLM, which allows regressing a circular outcome on linear and categorical predictors.
In order to use this package from R, it can be installed from GitHub using the devtools package as
install.packages("devtools")
devtools::install_github("keesmulder/circglmbayes")
For further help on this package, install it as above, attach it with library(circglmbayes) and run help("circglmbayes") or ?circGLM.
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.