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CBPS
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]
[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
Functions, R codes and Examples using
the CBPS R package
Some associated functions: AsyVar . Blackwell . CBIV . CBMSM.fit . CBMSM . CBPS.fit . CBPS . LaLonde . balance.CBPS . balance.CBPSContinuous . balance.npCBPS . balance . hdCBPS . npCBPS.fit . npCBPS . plot.CBMSM . plot.CBPS . plot.CBPSContinuous . plot.npCBPS . print.CBPS . summary.CBPS . vcov.CBPS . vcov_outcome.CBPSContinuous . vcov_outcome .
Some associated R codes: AsyVar.R . BlackwellHelpCode.R . CBIV.R . CBMSM.R . CBPS-package.R . CBPSBinary.R . CBPSMain.R . CBPSOptimalBinary.R . analytic_vcov.R . hdCBPS.R . npCBPS.R . onAttach.R . Full CBPS package functions and examples
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