CBPS: plot.CBPSContinuous – R documentation

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plot.CBPSContinuous

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

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

## 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.

Covariate Balancing Propensity Score

v0.22

GPL (>= 2)

Authors

Christian Fong [aut, cre], Marc Ratkovic [aut], Kosuke Imai [aut], Chad Hazlett [ctb], Xiaolin Yang [ctb], Sida Peng [ctb]

Initial release

2021-03-28