jwb133/bayesmiss
Creates JAGS models and R code for Bayesian regression models with missing covariates

Package index
Search the jwb133/bayesmiss package
Vignettes
Functions
1
Source code
2
Man pages
1
Home
/
GitHub
/
jwb133/bayesmiss: Creates JAGS models and R code for Bayesian regression models with missing covariates

jwb133/bayesmiss: Creates JAGS models and R code for Bayesian regression models with missing covariates

More about what it does (maybe more than one line)

Getting started

README.md

Browse package contents

Vignettes Man pages API and functions Files

Package details
AuthorJonathan Bartlett
MaintainerJonathan Bartlett <jwb133@googlemail.com>
LicenseWhat license is it under?
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R: 
install.packages("remotes")
remotes::install_github("jwb133/bayesmiss")
jwb133/bayesmiss documentation built on May 20, 2019, 5:21 a.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
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.

Close