AsyVar |
Asymptotic Variance and Confidence Interval Estimation of the ATE |
balance |
Optimal Covariate Balance |
balance.CBPS |
Calculates the pre- and post-weighting difference in standardized means for covariate within each contrast |
balance.CBPSContinuous |
Calculates the pre- and post-weighting correlations between each covariate and the T |
balance.npCBPS |
Calls the appropriate balance function based on the number of treatments |
Blackwell |
Blackwell Data for Covariate Balancing Propensity Score |
CBIV |
Covariate Balancing Propensity Score for Instrumental Variable Estimates (CBIV) |
CBMSM |
Covariate Balancing Propensity Score (CBPS) for Marginal Structural Models |
CBMSM.fit |
CBMSM.fit |
CBPS |
Covariate Balancing Propensity Score (CBPS) Estimation |
CBPS.fit |
CBPS.fit determines the proper routine (what kind of treatment) and calls the approporiate function. It also pre- and post-processes the data |
hdCBPS |
hdCBPS high dimensional CBPS method to parses the formula object and passes the result to hdCBPS.fit, which calculates ATE using CBPS method in a high dimensional setting. |
hdCBPS.fit |
hdCBPS high dimensional CBPS method to parses the formula object and passes the result to hdCBPS.fit, which calculates ATE using CBPS method in a high dimensional setting. |
LaLonde |
LaLonde Data for Covariate Balancing Propensity Score |
npCBPS |
Non-Parametric Covariate Balancing Propensity Score (npCBPS) Estimation |
npCBPS.fit |
npCBPS.fit |
plot.CBMSM |
Plotting CBPS Estimation for Marginal Structural Models |
plot.CBPS |
Plotting Covariate Balancing Propensity Score Estimation |
plot.CBPSContinuous |
Plot the pre-and-post weighting correlations between X and T |
plot.npCBPS |
Calls the appropriate plot function, based on the number of treatments |
print.CBPS |
Print coefficients and model fit statistics |
summary.CBPS |
Summarizing Covariate Balancing Propensity Score Estimation |
vcov.CBPS |
Calculate Variance-Covariance Matrix for a Fitted CBPS Object |
vcov_outcome |
Calculate Variance-Covariance Matrix for Outcome Model |
vcov_outcome.CBPSContinuous |
vcov_outcome |