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 16 Jul. 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), (2026-07-09 07:59)
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

stevedata  
Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
wordnet  
WordNet Interface
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (< ...
Download / Learn more Package Citations See dependency  
tibble  
Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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