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 05 Aug. 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

dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
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  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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