Other packages > Find by keyword >

CBPS  

Covariate Balancing Propensity Score
View on CRAN: Click here


Download and install CBPS package within the R console
Install from CRAN:
install.packages("CBPS")

Install from Github:
library("remotes")
install_github("cran/CBPS")

Install by package version:
library("remotes")
install_version("CBPS", "0.24")



Attach the package and use:
library("CBPS")
Maintained by
Christian Fong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-07-19
Latest Update: 2022-01-18
Description:
Implements the covariate balancing propensity score (CBPS) proposed by Imai and Ratkovic (2014) . The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking. The package also implements optimal CBPS from Fan et al. (in-press) , several extensions of the CBPS beyond the cross-sectional, binary treatment setting. They include the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models from Imai and Ratkovic (2015) , treatments with three- and four-valued treatment variables, continuous-valued treatments from Fong, Hazlett, and Imai (2018) , propensity score estimation with a large number of covariates from Ning, Peng, and Imai (2020) , and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including the generalization of experimental and instrumental variable estimates.
How to cite:
Christian Fong (2012). CBPS: Covariate Balancing Propensity Score. R package version 0.24, https://cran.r-project.org/web/packages/CBPS. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1 (2012-07-19 19:16), 0.2 (2012-09-29 08:14), 0.3 (2013-01-31 17:07), 0.4 (2013-04-03 18:19), 0.5 (2013-05-08 07:23), 0.6 (2013-06-07 08:17), 0.7 (2013-07-25 00:30), 0.8 (2014-03-08 06:59), 0.9 (2014-08-14 00:49), 0.10 (2015-09-21 11:19), 0.11 (2016-05-13 00:44), 0.12 (2016-11-01 23:26), 0.13 (2016-12-30 00:13), 0.14 (2017-10-02 20:54), 0.15 (2017-11-26 23:16), 0.16 (2017-12-19 21:58), 0.17 (2018-01-30 00:42), 0.18 (2018-03-10 17:12), 0.19 (2018-06-17 08:07), 0.20 (2019-03-22 10:53), 0.21 (2019-08-21 09:40), 0.22 (2021-03-29 11:22), 0.23 (2022-01-18 19:02)
Other packages that cited CBPS R package
View CBPS citation profile
Other R packages that CBPS depends, imports, suggests or enhances
Complete documentation for CBPS
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA