``CBPS: R Package for Covariate Balancing Propensity Score''

 

  Abstract

CBPS is an R package that implements the covariate balancing propensity score proposed by Imai and Ratkovic (2014; 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 several extensions of the CBPS beyond the cross-sectional, binary treatment setting. The current version implements the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models (Imai and Ratkovic, 2014; JASA), treatments with three- and four-valued treatment variables, continuous-valued treatments (Fong and Imai, 2014), 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.

  Current Version

The current version is 0.9 (built on 08/11/14). The source code and the documentation are available for download from The Comprehensive R Archive Network (CRAN).

  Installation

Regardless of one's operating system, the software can be installed by typing the following command at R prompt:

> install.packages("CBPS")

This will install the latest version from CRAN.

© Kosuke Imai
Last modified: Tue Aug 12 17:12:36 EDT 2014