milesdwilliams15/RFA
Estimate Average Treatment Effect via Random Forest Residualization

Package index
Search the milesdwilliams15/RFA package
Vignettes
Functions
10
Source code
6
Man pages
5
Home
/
GitHub
/
milesdwilliams15/RFA: Estimate Average Treatment Effect via Random Forest Residualization

milesdwilliams15/RFA: Estimate Average Treatment Effect via Random Forest Residualization

Random Forest Residualization is a procedure for estimating the residual relationship between an explanatory variable and outcome after partialing out the variation in each explained by a set of covariates via fitted random forest regressions.

Getting started

README.md

Browse package contents

Vignettes Man pages API and functions Files

Package details
Maintainer
LicenseGPL-2
Version0.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R: 
install.packages("remotes")
remotes::install_github("milesdwilliams15/RFA")
milesdwilliams15/RFA documentation built on Sept. 26, 2023, 4:31 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