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CBPS (version 0.4)

R Package for Covariate Balancing Propensity Score

Description

CBPS is an R package that implements the covariate balancing propensity score proposed by Imai and Ratkovic (2013; JRSSB). 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 the generalization of CBPS to the longitudinal settings so that it can be used in conjunction with marginal structural models (Imai and Ratkovic, 2013a). In the future it will be extended to other settings including non-binary treatments and the generalization of experimental and instrumental variable estimates.

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Version

Install

install.packages('CBPS')

Monthly Downloads

5,121

Version

0.4

License

GPL (>= 2)

Maintainer

Marc Ratkovic

Last Published

April 3rd, 2013

Functions in CBPS (0.4)

IPW

Inverse Probability Weighting Estimators
CBPS

Covariate Balancing Propensity Score (CBPS) Estimation
vcov.CBPS

Calculate Variance-Covariance Matrix for a Fitted CBPS Object
summary.CBPS

Summarizing Covariate Balancing Propensity Score Estimation
LaLonde

LaLonde Data for Covariate Balancing Propensity Score
MSMdata

Marginal Structural Model Data Generator