permute: Generate a dataset with permuted treatment indicators

In tehtuner: Fit and Tune Models to Detect Treatment Effect Heterogeneity

Generate a dataset with permuted treatment indicators

Description

Sets the marginal treatment effect to zero and then permute all treatment indicators.

Usage

permute(data, Trt, Y, zbar)

Arguments

data	a data frame containing a response, binary treatment indicators, and covariates.
Trt	a string specifying the name of the column of data contains the treatment indicators.
Y	a string specifying the name of the column of data contains the response.
zbar	the estimated marginal treatment effect

Value

a permuted dataset of the same size as data

tehtuner documentation built on April 3, 2023, 5:16 p.m.