Analysis of repeated measurements and time-to-event data via random effects joint models. Some plotting functions and the variogram are also included.
Buckley-James regression for right-censoring survival data with high-dimensional covariates. Including L_2 boosting with componentwise linear least squares, componentwise smoothing splines, P-splines, regression trees and boosted MARS. Other high-dimensional tools include elastic net, MARS, ACOSSO.
The package provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data.
The package enables to compute event-specific incidence rates for competing risks data, to compute rate ratios, event-specific incidence proportions and cumulative incidence functions from these, and to plot these in a comprehensive multi-state type graphic.
Extension of cmprsk to Stratified and Clustered data
The frailtyHL package implements the h-likelihood estimation procedures for frailty models. The package fits Cox's proportional hazards models with random effects (or frailties). For the frailty distribution lognormal and gamma are allowed. The h-likelihood uses the Laplace approximation when the numerical integration is intractable, giving a statistically efficient estimation in frailty models.
Nonparametric estimation for right censored, left truncated time to event data in multistate models.
Biograph is designed to facilitate the descriptive and statistical analysis of life histories. It follows a multistate perspective on the life course and conceptualizes the life course as a sequence of states and transitions between states (events). Transitions are governed by transition rates that depend on event counts and exposure times. Transition rates also depend on covariates. Biograph produces useful graphics and computes life-course indicators for individuals and groups. The package structures the data for multistate statistical and demographic modeling of life histories. The package accepts data in a Biograph format. The Doc subdirectory of the package contains a description of how to prepare Biograph objects. It includes several illustrations and R code.