bvegetabile/paperOptBalGPPS
“Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects”

Package index
Search the bvegetabile/paperOptBalGPPS package
Vignettes
Functions
20
Source code
14
Man pages
0
Home
/
GitHub
/
bvegetabile/paperOptBalGPPS: “Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects”

bvegetabile/paperOptBalGPPS: “Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects”

Code and simulations related to the paper “Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects”

Getting started

README.md

Browse package contents

Vignettes Man pages API and functions Files

Package details
AuthorBrian Vegetabile
MaintainerBrian Vegetabile <bvegetab@uci.edu>
LicenseWhat license is it under?
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R: 
install.packages("remotes")
remotes::install_github("bvegetabile/paperOptBalGPPS")
bvegetabile/paperOptBalGPPS documentation built on May 23, 2019, 1:59 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