pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis

The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and Scheipl (2018) <doi: 10.1177/1471082X17748083>) 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 (2018) <doi: 10.1093/biostatistics/kxy003>. 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.

Getting started

Package details

AuthorAndreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>), Fabian Scheipl [aut]
MaintainerAndreas Bender <[email protected]>
LicenseMIT + file LICENSE
Version0.2.2
URL https://github.com/adibender/pammtools
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pammtools")

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pammtools documentation built on March 13, 2020, 1:59 a.m.