README.md
In johnsontr/entmax: Entropty maximizing treatment assignment for sequential experiment designs
entmax
The goal of entmax is to use Kullback-Leibler divergence to maximize entropy for online treatment assignments. For a given subject entering an experimental setting with a given set of covariates, assign treatment given blocked covariates in a way that maximizes information gained.
Installation
You can install the released version of entmax from
CRAN with:
install.packages("entmax")
And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("johnsontr/entmax")
johnsontr/entmax documentation built on July 2, 2022, 9:23 p.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.
entmax
The goal of entmax is to use Kullback-Leibler divergence to maximize entropy for online treatment assignments. For a given subject entering an experimental setting with a given set of covariates, assign treatment given blocked covariates in a way that maximizes information gained.
Installation
You can install the released version of entmax from CRAN with:
install.packages("entmax")
And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("johnsontr/entmax")
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.