_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-pammtools 0.7.3
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.2.1 r-survival@3.7-0 r-scam@1.2-18 r-rlang@1.1.4 r-purrr@1.0.2 r-pec@2023.04.12 r-mvtnorm@1.3-2 r-mgcv@1.9-1 r-magrittr@2.0.3 r-lazyeval@0.2.2 r-ggplot2@3.5.1 r-formula@1.2-5 r-dplyr@1.1.4 r-checkmate@2.3.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://adibender.github.io/pammtools/
Licenses: Expat
Synopsis: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
Description:

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 data as well as competing risks, recurrent events and multi-state settings. 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.

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