README.md
In pjnewcombe/R2BGLiMS: R interface to the java package BGLiMS (Bayesian Generalised Linear Model Selection).
R2BGLiMS
Bayesian variable selection under a range of likelihoods, including linear regression for continuous outcomes, logistic regression for binary outcomes, Weibull regression for survival outcomes binary and survial outcomes, and the "JAM" model for summary genetic association data.
NB: Must have a Java JDK installed in order to install and run R2BGLiMS.
To install R2GBLiMS using the devtools library, run:
library(devtools)
install_github("pjnewcombe/R2BGLiMS")
pjnewcombe/R2BGLiMS documentation built on Feb. 10, 2020, 8:52 p.m.
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R2BGLiMS
Bayesian variable selection under a range of likelihoods, including linear regression for continuous outcomes, logistic regression for binary outcomes, Weibull regression for survival outcomes binary and survial outcomes, and the "JAM" model for summary genetic association data.
NB: Must have a Java JDK installed in order to install and run R2BGLiMS.
To install R2GBLiMS using the devtools library, run:
library(devtools)
install_github("pjnewcombe/R2BGLiMS")
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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