# Stratified Medicine

## Documentation for package ‘StratifiedMedicine’ version 1.0.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

filter_train | filter_train: Identify variables of interest
generate_subgrp_data | Generate Subgroup Data-sets
param_combine | Overall Population Estimate: Aggregating Subgroup-Specific Parameter Estimates
param_est | Parameter Estimation: Across Subgroups
ple_train | Patient-level Estimates: Train Model
plot.PRISM | plot.PRISM
plot_dependence | Partial dependence plots: Single Variable (marginal effect) or heat map (2 to 3 variables).
plot_importance | Importance Plot: Visualize relative importance of variables
plot_ple | Patient-Level Estimate Plot (plot_ple): Visualize distribution of estimates
plot_tree | Tree Plot: Tree Structure, Subgroup-specific treatment estimates
predict.ple_train | Patient-level Estimates Model: Prediction
predict.PRISM | PRISM: Patient Response Identifier for Stratified Medicine (Predictions)
predict.submod_train | Subgroup Identification: Train Model (Predictions)
PRISM | PRISM: Patient Response Identifier for Stratified Medicine
submod_train | Subgroup Identification: Train Model
summary.PRISM | PRISM: Patient Response Identifier for Stratified Medicine (Summary)
summary.submod_train | Subgroup Identification (Summary)