CBPS (version 0.1)

plot.CBMSM: Plotting Covariate Balancing Propensity Score Estimation for Marginal Structural Models

Description

Plots the absolute difference in standardized means before and after weighting.

Usage

## S3 method for class 'CBMSM':
plot(x, covars = NULL, silent = TRUE, boxplot = FALSE, ...)

Arguments

x

an object of class CBMSM.

covars

Indices of the covariates to be plotted (excluding the intercept). For example, if only the first two covariates from balance are desired, set covars to 1:2. The default is NULL, which plots all covariates.

silent

If set to FALSE, returns the absolute imbalance for each treatment history pair before and after weighting. This helps the user to create his or her own customized plot. Default is TRUE, which returns nothing.

boxplot

If set to TRUE, returns a boxplot summarizing the imbalance on the covariates instead of a point for each covariate. Useful if there are many covariates.

...

Additional arguments to be passed to plot.

Value

• The x-axis gives the imbalance for each covariate-treatment history pair without any weighting, and the y-axis gives the imbalance for each covariate-treatment history pair after CBMSM weighting. Imbalance is measured as the absolute difference in standardized means for the two treatment histories. Means are standardized by the standard deviation of the covariate in the full sample.

Details

Covariate balance is improved if the plot's points are below the plotted line of y=x.

See Also

CBMSM, plot