CRAN/E | pammtools

pammtools

Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis

Installation

About

The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and others (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 (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.

Citation pammtools citation info
adibender.github.io/pammtools/
Bug report File report

Key Metrics

Version 0.5.93
R ≥ 3.5.0
Published 2024-02-25 67 days ago
Needs compilation? no
License MIT
License File
CRAN checks pammtools results

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Maintainer

Maintainer

Andreas Bender

andreas.bender@stat.uni-muenchen.de

Authors

Andreas Bender

aut / cre

Fabian Scheipl

aut

Philipp Kopper

aut

Lukas Burk

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pammtools archive

Depends

R ≥ 3.5.0

Imports

mgcv
survival ≥ 2.39-5
checkmate
magrittr
rlang
tidyr ≥ 1.0.0
ggplot2 ≥ 3.2.2
dplyr ≥ 1.0.0
purrr ≥0.2.3
tibble
lazyeval
Formula
mvtnorm
pec
vctrs ≥0.3.0

Suggests

testthat

Reverse Imports

autoReg
KMunicate
relsurv
robber

Reverse Suggests

adjustedCurves
contsurvplot