generate_subgrp_data

seed

Outcome type ("gaussian", "binomial", "survival")

family

Simulate null hypothesis of no treatment effect and no subgruops. Default
is FALSE.

null

Any additional parameters, not currently passed through.

Simulation/real data-sets; useful for testing new models and PRISM configurations.

A toolkit for stratified medicine, subgroup identification, and precision medicine.
Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate
models (counterfactual patient-level quantities, such as the conditional average treatment effect),
(3) subgroup identification models (find subsets of patients with similar treatment effects),
and (4) treatment effect estimation and inference (for the overall population and discovered
subgroups). These tools can be customized and are directly used in PRISM
(patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019
<arXiv:1912.03337>. This package is in beta and will be continually updated.

generate_subgrp_data: Generate Subgroup Data-sets

Description

Usage

Arguments

Value