r-cran-pammtools - 0.5.93-1 main

This package provides piece-wise exponential additive mixed modeling
tools for survival analysis. The Piece-wise exponential (Additive Mixed)
Model (PAMM; Bender and others (2018) )
is a powerful model class for the analysis of survival (or time-to-
event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It
offers intuitive specification and robust estimation of complex survival
models with stratified baseline hazards, random effects, time-varying
effects, time-dependent covariates and cumulative effects (Bender and
others (2019)), as well as support for left-truncated, competing risks
and recurrent events data. pammtools provides tidy workflow for survival
analysis with PAMMs, including data simulation, transformation and other
functions for data preprocessing and model post-processing as well as
visualization.