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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "survPen" in publications use:'
type: software
license: GPL-3.0-only
title: 'survPen: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative
  Mortality Ratio Models and Marginal Intensity Models'
version: 2.0.5
doi: 10.21105/joss.01434
identifiers:
- type: doi
  value: 10.32614/CRAN.package.survPen
abstract: 'Fits (excess) hazard, relative mortality ratio or marginal intensity models
  with multidimensional penalized splines allowing for time-dependent effects, non-linear
  effects and interactions between several continuous covariates. In survival and
  net survival analysis, in addition to modelling the effect of time (via the baseline
  hazard), one has often to deal with several continuous covariates and model their
  functional forms, their time-dependent effects, and their interactions. Model specification
  becomes therefore a complex problem and penalized regression splines represent an
  appealing solution to that problem as splines offer the required flexibility while
  penalization limits overfitting issues. Current implementations of penalized survival
  models can be slow or unstable and sometimes lack some key features like taking
  into account expected mortality to provide net survival and excess hazard estimates.
  In contrast, survPen provides an automated, fast, and stable implementation (thanks
  to explicit calculation of the derivatives of the likelihood) and offers a unified
  framework for multidimensional penalized hazard and excess hazard models. Later
  versions (>2.0.0) include penalized models for relative mortality ratio, and marginal
  intensity in recurrent event setting. survPen may be of interest to those who 1)
  analyse any kind of time-to-event data: mortality, disease relapse, machinery breakdown,
  unemployment, etc 2) wish to describe the associated hazard and to understand which
  predictors impact its dynamics, 3) wish to model the relative mortality ratio between
  a cohort and a reference population, 4) wish to describe the marginal intensity
  for recurrent event data. See Fauvernier et al. (2019a) <https://doi.org/10.21105/joss.01434>
  for an overview of the package and Fauvernier et al. (2019b) <https://doi.org/10.1111/rssc.12368>
  for the method.'
authors:
- family-names: Fauvernier
  given-names: Mathieu
  email: mathieu.fauvernier@gmail.com
- family-names: Roche
  given-names: Laurent
- family-names: Remontet
  given-names: Laurent
preferred-citation:
  type: article
  title: 'survPen: an R package for hazard and excess hazard modelling with multidimensional
    penalized splines'
  authors:
  - family-names: Fauvernier
    given-names: Mathieu
    email: mathieu.fauvernier@gmail.com
  - family-names: Remontet
    given-names: Laurent
  - family-names: Uhry
    given-names: Zoé
  - family-names: Bossard
    given-names: Nadine
  - family-names: Roche
    given-names: Laurent
  journal: Journal of Open Source Software
  year: '2019'
  volume: '4'
  issue: '40'
  doi: 10.21105/joss.01434
  start: '1434'
repository: https://cran.r-universe.dev
repository-code: https://github.com/fauvernierma/survPen
commit: 5a1174e772e45fd81ce610399145e4279d35fc2f
url: https://github.com/fauvernierma/survPen
date-released: '2026-06-09'
contact:
- family-names: Fauvernier
  given-names: Mathieu
  email: mathieu.fauvernier@gmail.com