R package
FunSurv
Functional predictors for recurrent events
Jointly model longitudinal measurements and recurrent events using functional regression with autoregressive frailty.
Tools for survival analysis, recurrent events, and statistical computing. Each entry links to documentation, source code or examples, and related publications where available.
R package
Functional predictors for recurrent events
Jointly model longitudinal measurements and recurrent events using functional regression with autoregressive frailty.
R package
Regression for recurrent events
Fit regression models for recurrent events and terminal outcomes, with tools for visualization and simulation.
R package
Accelerated failure time models
Fit accelerated failure time models with rank-based estimation and generalized estimating equations.
Research code
Prediction of recurrent events
Code and examples for global and episode-specific prediction using survival tree ensembles.
R package
Survival analysis with a cure fraction
Fit cure models using pseudo-observations, including variable selection through penalized generalized estimating equations.
R package
Regression with censored covariates
Use deletion and completion threshold regression for linear models with a randomly censored covariate.
R package
Tests for dependent truncation
Test quasi-independence in left-truncated, right-censored survival data using permutation methods.
R package
ROC-guided survival trees and forests
Build survival trees and ensembles using ROC-guided methods for event-time prediction.
R package
Models for panel count data
Fit semiparametric regression models for panel count survival data using estimating functions.
R package
Survival under dependent truncation
Analyze left-truncated, right-censored survival data using a structural transformation model.