psw.mirror.hist: Mirror histogram

In PSW: Propensity Score Weighting Methods for Dichotomous Treatments

Description

psw.mirror.hist is used to plot the mirror histogram that visualizes the propensity score distributions in both treatment groups.

Usage

psw.mirror.hist(data, form.ps, weight, add.weight = FALSE, nclass = 50,
  K = 4)

Arguments

data	data frame to be used.
form.ps	propensity score model.
weight	weighting method to be used. Available methods are "ATE", "ATT", "ATC", "MW", "OVERLAP", and "TRAPEZOIDAL".
add.weight	add propensity score weights to the mirror histogram, add.weight=FALSE by default and it is not available for weight="ATE", "ATT" or "ATC".
nclass	number of breaks in the mirror histogram.
K	value of K in ω(e_i) = min(1, K min(e_i, 1-e_i)) for "TRAPEZOIDAL" weight.

Details

See psw.

Value

NULL.

See Also

psw

Examples

# Load the test data set
data(test_data);
# Propensity score model
form.ps <- "Z ~ X1 + X2 + X3 + X4";
tmp <- psw.mirror.hist( data = test_data, weight = "MW", form.ps = form.ps,
add.weight = TRUE );

PSW documentation built on May 2, 2019, 6:01 a.m.