GitHub - genome/bmm: R package that uses a variational Bayesian approach to fitting a mixture of Beta distributions

genome / bmm Public

Notifications You must be signed in to change notification settings
Fork 9
Star 4

R package that uses a variational Bayesian approach to fitting a mixture of Beta distributions

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
R		R
debian		debian
man		man
DESCRIPTION		DESCRIPTION
LICENSE		LICENSE
NAMESPACE		NAMESPACE
README		README

Repository files navigation

bmm
--------------------------------
An R package that uses a variational Bayesian approach for fitting a mixture of Beta distributions


Installation instructions
--------------------------------
As of mid-2022, the NORMT3 package, which is a dependency of bmm, has been removed from CRAN. It can be installed manually by doing something like: 

    $ wget https://cran.r-project.org/src/contrib/Archive/NORMT3/NORMT3_1.0.4.tar.gz
    $ R CMD install NORMT3_1.0.4.tar.gz

Then proceed with the rest of the installation


The easy way:

    #install devtools if you don't have it already
    install.packages("devtools") 
    library(devtools)
    install_github("genome/bmm")

Or build it by hand:

    #make sure you have all the dependencies first (ggplot2, NORMT3)
    $ git clone git@github.com:genome/bmm.git
    $ cd bmm/
    $ R CMD build bmm
    $ R CMD INSTALL bmm_0.3.1.tar.gz


Usage
---------------------------------
See R docs for usage