crossfit: Crossfitting for nuisance functions

In aihuman: Experimental Evaluation of Algorithm-Assisted Human Decision-Making

Crossfitting for nuisance functions

Description

Implement crossfitting with boosting methods and get predicted values for outcome/decision regression or propensity score models

Usage

crossfit(data, include_for_fit, form, ...)

Arguments

data	A data.frame or matrix to fit on.
include_for_fit	Boolean vector for whether or not a unit should be included in fitting (e.g. treated/control).
form	Formula for outcome regression/propensity score models.
...	Additional arguments to be passed to gbm function.

Value

A vector of predicted values

aihuman documentation built on April 12, 2025, 1:47 a.m.