Learn R Programming

⚠️There's a newer version (0.24) of this package.Take me there.

CBPS (version 0.1)

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 (2012). 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. Currently, the package can only deal with binary treatment in the cross section setting but in the future it will be extended to other settings including non-binary treatments and causal inference with longitudinal data.

Copy Link

Version

Install

install.packages('CBPS')

Monthly Downloads

5,121

Version

0.1

License

GPL (>= 2)

Maintainer

Marc Ratkovic

Last Published

July 19th, 2012

Functions in CBPS (0.1)

CBPS

Covariate Balancing Propensity Score (CBPS) Estimation
balance

Optimal Covariate Balance
npCBPS

Non-Parametric Covariate Balancing Propensity Score (npCBPS) Estimation
plot.CBPS

Plotting Covariate Balancing Propensity Score Estimation
plot.CBMSM

Plotting Covariate Balancing Propensity Score Estimation for Marginal Structural Models
CBMSM

Covariate Balancing Propensity Score (CBPS) for Marginal Structural Models
vcov.CBPS

Calculate Variance-Covariance Matrix for a Fitted CBPS Object
LaLonde

LaLonde Data for Covariate Balancing Propensity Score
CBPSlogit

Covariate Balancing Propensity Score (CBPS) Estimation via Logistic Regression
Blackwell

Blackwell Data for Covariate Balancing Propensity Score
summary.CBPSlogit

Summarizing Covariate Balancing Propensity Score for Logistic Regression
summary.CBPS

Summarizing Covariate Balancing Propensity Score Estimation