covariateBalance: Calculate covariate effect size differences before and after...
In TriMatch: Propensity Score Matching of Non-Binary Treatments

covariateBalance

R Documentation

Calculate covariate effect size differences before and after stratification.

Description

This function is modified from the [PSAgraphics::cv.bal.psa()] function in the 'PSAgrpahics' package.

Usage

covariateBalance(
  covariates,
  treatment,
  propensity,
  strata = NULL,
  int = NULL,
  tree = FALSE,
  minsize = 2,
  universal.psd = TRUE,
  trM = 0,
  absolute.es = TRUE,
  trt.value = NULL,
  use.trt.var = FALSE,
  verbose = FALSE,
  xlim = NULL,
  plot.strata = TRUE,
  ...
)

Arguments

`covariates`	dataframe of interest
`treatment`	binary vector of 0s and 1s (necessarily? what if character, or 1, 2?)
`propensity`	PS scores from some method or other.
`strata`	either a vector of strata number for each row of covariate, or one number n in which case it is attempted to group rows by ps scores into n strata of size approximately 1/n. This does not seem to work well in the case of few specific propensity values, as from a tree.
`int`	either a number m used to divide [0,1] into m equal length subintervals, or a vector of cut points between 0 an 1 defining the subintervals (perhaps as suggested by loess.psa). In either case these subintervals define strata, so strata can be of any size.
`tree`	logical, if unique ps scores are few, as from a recursively partitioned tree, then TRUE will force each ps value to define a stratum.
`minsize`	smallest allowable stratum-treatment size. If violated, strata is removed.
`universal.psd`	If 'TRUE', forces standard deviations used to be unadjusted for stratification.
`trM`	trimming proportion for mean calculations.
`absolute.es`	logical, if 'TRUE' routine uses absolute values of all effect sizes.
`trt.value`	allows user to specify which value is active treatment, if desired.
`use.trt.var`	logical, if true then Rubin-Stuart method using only treatment variance with be used in effect size calculations.
`verbose`	logical, controls output that is visibly returned.
`xlim`	limits for the x-axis.
`plot.strata`	logical indicating whether to print strata.
`...`	currently unused.