Learn R Programming

trtswitch (version 0.2.3)

Treatment Switching

Description

Implements rank preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), marginal structural model (MSM), simple two-stage estimation (TSEsimp), and improved two-stage estimation with g-estimation (TSEgest) methods for treatment switching in randomized clinical trials.

Copy Link

Version

Install

install.packages('trtswitch')

Monthly Downloads

395

Version

0.2.3

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/kaifenglu/trtswitch

Maintainer

Kaifeng Lu

Last Published

January 10th, 2026

Functions in trtswitch (0.2.3)

Logistic Regression Models for Binary Data

Plot method for ipcw objects

Marginal Structural Model (MSM) for Treatment Switching

Append columns from B to A by keyed join (fast, data.table-based)

plot.assess_phregr

Plot method for assess_phregr objects

Proportional Hazards Regression Models

Log-Rank Test of Survival Curve Difference

Plot method for rpsftm objects

Prepare Survival Data With Time-Dependent Covariates

Print liferegr Object

Print method for ipe objects

Plot method for tsegest objects

Plot method for ipe objects

print.assess_phregr

Print method for assess_phregr objects

Plot method for tsesimp objects

Print method for ipcw objects

Plot method for msm objects

recensor_sim_rpsftm

Simulation Study to Evaluate Recensoring Rules in RPSFTM

Print phregr Object

residuals_liferegr

Residuals for Parametric Regression Models for Failure Time Data

helper: process a base covariate specification and ensure design columns exist in df

Print method for tsesimp objects

A simulated time-to-event data set with 10 replications

Print method for msm objects

print.logisregr

Print logisregr Object

Print method for tsegest objects

Print method for rpsftm objects

Survival Curve for Proportional Hazards Regression Models

Estimate of Restricted Mean Survival Time

Split a survival data set at specified cut points

Brookmeyer-Crowley Confidence Interval for Quantiles of Right-Censored Time-to-Event Data

Estimate of Restricted Mean Survival Time Difference

Rank Preserving Structural Failure Time Model (RPSFTM) for Treatment Switching

residuals_phregr

Residuals for Proportional Hazards Regression Models

Urinary tract infection data from the logistf package

The repeated measures data from the "Six Cities" study of the health effects of air pollution (Ware et al. 1984).

The randomized clinical trial SHIVA data in long format from the ipcwswitch package

Simple Two-Stage Estimation (TSEsimp) for Treatment Switching

trtswitch-package

Treatment Switching

Tobin's tobit data from the survival package

Simulate Data for Treatment Switching

Assess Proportional Hazards Assumption Based on Scaled Schoenfeld Residuals

Simulate Survival Data for Two-Stage Estimation with g-estimation

Two-Stage Estimation with g-Estimation (TSEgest) for Treatment Switching

Stanford heart transplant data from the survival package

Assess Proportional Hazards Assumption Based on Supremum Test

Estimate of Milestone Survival Difference

Iterative Parameter Estimation (IPE) for Treatment Switching

Inverse Probability of Censoring Weights (IPCW) for Treatment Switching

Acute myelogenous leukemia survival data from the survival package

Baseline subject-level data

The binary data from Cox and Snell (1989, pp. 10-11).

Simulated CONCORDE trial data from the rpsftm package

Longitudinal time-dependent covariate data

Kaplan-Meier Estimates of Survival Curve

Parametric Regression Models for Failure Time Data

The liver data used in SAS PROC PHREG documentation examples.