# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "pencal" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'pencal: Penalized Regression Calibration (PRC) for the Dynamic Prediction
  of Survival'
version: 2.2.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.pencal
abstract: Computes penalized regression calibration (PRC), a statistical method for
  the dynamic prediction of survival when many longitudinal predictors are available.
  PRC is described in Signorelli (2024) <https://doi.org/10.48550/arXiv.2309.15600>
  and in Signorelli et al. (2021) <https://doi.org/10.1002/sim.9178>.
authors:
- family-names: Signorelli
  given-names: Mirko
  email: msignorelli.rpackages@gmail.com
  orcid: https://orcid.org/0000-0002-8102-3356
preferred-citation:
  type: article
  title: 'pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal
    Predictors'
  authors:
  - name: M. Signorelli
  journal: 'To appear in: The R Journal'
  year: '2024'
  issue: arXiv:2309.15600
  url: https://doi.org/10.48550/arXiv.2309.15600
repository: https://m-signo.r-universe.dev
commit: cf112b75b0db3f2db900e131d5233a5a0a904df4
url: https://mirkosignorelli.github.io/r
date-released: '2024-06-12'
contact:
- family-names: Signorelli
  given-names: Mirko
  email: msignorelli.rpackages@gmail.com
  orcid: https://orcid.org/0000-0002-8102-3356
references:
- type: article
  title: 'Penalized regression calibration: A method for the prediction of survival
    outcomes using complex longitudinal and high-dimensional data'
  authors:
  - name: M. Signorelli
  - name: P. Spitali
  - name: C. Al-Khalili Szigyarto
  - name: The MARK-MD Consortium
  - name: R. Tsonaka
  journal: Statistics in Medicine
  year: '2021'
  volume: '40'
  issue: '27'
  url: https://doi.org/10.1002/sim.9178
  start: '6178'
  end: '6196'