Man pages for StratifiedMedicine
Stratified Medicine

filter_glmnetFilter: Elastic Net (glmnet)
filter_rangerFilter: Random Forest (ranger) Variable Importance
generate_subgrp_dataGenerate Subgroup Data-sets
model_templateModel Template: Generates template functions for PRISM...
param_combineOverall Population Estimate: Aggregating Subgroup-Specific...
param_coxParameter Estimation: Cox Regression
param_drParameter Estimation: Double-robust estimator
param_lmParameter Estimation: Linear Regression
param_pleParameter Estimation: Patient-Level Estimates
param_rmstParameter Estimation: Restricted Mean Survival Time (RMST)
ple_bartPatient-level Estimates: BART
ple_causal_forestPatient-level Estimates: Causal Forest
ple_glmnetPatient-level Estimates: Elastic Net (glmnet)
ple_rangerPatient-level Estimates: Ranger
ple_trainPatient-level Estimates: Train Model
plot.PRISMplot.PRISM
predict.ple_trainPatient-level Estimates Model: Prediction
predict.PRISMPRISM: Patient Response Identifier for Stratified Medicine...
predict.submod_trainSubgroup Identification: Train Model (Predictions)
PRISMPRISM: Patient Response Identifier for Stratified Medicine
PRISM_resampPRISM (Resample): Patient Response Identifier for Stratified...
PRISM_trainPRISM (Train): Patient Response Identifier for Stratified...
submod_ctreeSubgroup Identification: Conditional Inference Trees (ctree)
submod_lmtreeSubgroup Identification: Model-based partitioning (lmtree)
submod_otrSubgroup Identification: Optimal Treatment Regime (through...
submod_rpartSubgroup Identification: CART (rpart)
submod_trainSubgroup Identification: Train Model
submod_weibullSubgroup Identification: Model-based partitioning (Weibull)
summary.PRISMPRISM: Patient Response Identifier for Stratified Medicine...
StratifiedMedicine documentation built on Oct. 30, 2019, 12:10 p.m.