get_theta_null {tehtuner}

Permute a dataset under the null hypothesis and get the MNPP

Description

Permute a dataset under the null hypothesis and get the MNPP

Usage

get_theta_null(data, Trt, Y, zbar, step1, step2, threshold, ...)

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

step1

character strings specifying the Step 1 model. Supports either "lasso", "mars", "randomforest", or "superlearner".

step2

a character string specifying the Step 2 model. Supports "lasso", "rtree", "classtree", or "ctree".

threshold

for "step2 = 'classtree'" only. The value against which to test if the estimated individual treatment effect from Step 1 is higher (TRUE) or lower (FALSE).

...

additional arguments to the Step 1 model call.

Value

the MNPP for the permuted data set