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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 "rsurv" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'rsurv: Random Generation of Survival Data'
version: 0.0.2
doi: 10.32614/CRAN.package.rsurv
abstract: Random generation of survival data from a wide range of regression models,
  including accelerated failure time (AFT), proportional hazards (PH), proportional
  odds (PO), accelerated hazard (AH), Yang and Prentice (YP), and extended hazard
  (EH) models. The package 'rsurv' also stands out by its ability to generate survival
  data from an unlimited number of baseline distributions provided that an implementation
  of the quantile function of the chosen baseline distribution is available in R.
  Another nice feature of the package 'rsurv' lies in the fact that linear predictors
  are specified via a formula-based approach, facilitating the inclusion of categorical
  variables and interaction terms. The functions implemented in the package 'rsurv'
  can also be employed to simulate survival data with more complex structures, such
  as survival data with different types of censoring mechanisms, survival data with
  cure fraction, survival data with random effects (frailties), multivariate survival
  data, and competing risks survival data. Details about the R package 'rsurv' can
  be found in Demarqui (2024) <https://doi.org/10.48550/arXiv.2406.01750>.
authors:
- family-names: Demarqui
  given-names: Fabio
  email: fndemarqui@est.ufmg.br
  orcid: https://orcid.org/0000-0001-9236-1986
repository: https://CRAN.R-project.org/package=rsurv
repository-code: https://github.com/fndemarqui/rsurv
url: https://fndemarqui.github.io/rsurv/
date-released: '2024-10-24'
contact:
- family-names: Demarqui
  given-names: Fabio
  email: fndemarqui@est.ufmg.br
  orcid: https://orcid.org/0000-0001-9236-1986