plot.CBPSContinuous: Plot the pre-and-post weighting correlations between X and T
In CBPS: Covariate Balancing Propensity Score

Plot the pre-and-post weighting correlations between X and T

1 2	## S3 method for class 'CBPSContinuous' plot(x, covars = NULL, silent = TRUE, boxplot = FALSE, ...)

`x`	an object of class “CBPS” or “npCBPS”, usually, a result of a call to `CBPS` or `npCBPS`.
`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 imbalances used to construct the 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 balance.