Stratified Medicine

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Documentation for package ‘StratifiedMedicine’ version 1.0.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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)