get_testing_grid: Build a grid of treatment effect models for interaction...

In hettx: Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation

Build a grid of treatment effect models for interaction testing

Description

Estimates a linear model Y ~ Z + W + Z:W (+X) and samples from the confidence region of the Z-related coefficients. For each sampled model, computes individual imputed treatment effects and science tables of imputed potential outcomes.

Usage

get_testing_grid(Y, Z, W, X = NULL, gamma = 1e-04, grid.size = 150)

Arguments

Y	Outcome vector.
Z	Treatment assignment vector (0/1).
W	Covariate matrix for treatment effect interactions.
X	Optional covariate matrix for additional adjustment.
gamma	Tail probability for the confidence region. Default is 0.0001.
grid.size	Number of models to sample. Default is 150.

Value

A list with components:

te.grid

grid.size x p matrix, each row a different effect model.

te.mat

N x grid.size matrix of individual treatment effects.

Y0.mat

N x grid.size matrix of imputed control potential outcomes.

Y1.mat

N x grid.size matrix of imputed treated potential outcomes.

hettx documentation built on Feb. 24, 2026, 5:08 p.m.