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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 "mets" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'mets: Analysis of Multivariate Event Times'
version: 1.3.4
doi: 10.1016/j.csda.2015.01.014
identifiers:
- type: doi
  value: 10.32614/CRAN.package.mets
abstract: Implementation of various statistical models for multivariate event history
  data <https://doi.org/10.1007/s10985-013-9244-x>. Including multivariate cumulative
  incidence models <https://doi.org/10.1002/sim.6016>, and bivariate random effects
  probit models (Liability models) <https://doi.org/10.1016/j.csda.2015.01.014>. Modern
  methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin,
  Binomial regression) with fast computation of influence functions.
authors:
- family-names: Holst
  given-names: Klaus K.
  email: klaus@holst.it
- name: Thomas Scheike
preferred-citation:
  type: article
  title: The Liability Threshold Model for Censored Twin Data
  authors:
  - family-names: Holst
    given-names: Klaus K.
    email: klaus@holst.it
  - family-names: Scheike
    given-names: Thomas H.
  - family-names: Hjelmborg
    given-names: Jacob B.
  year: '2016'
  volume: '93'
  journal: Computational Statistics and Data Analysis
  doi: 10.1016/j.csda.2015.01.014
  start: 324-335
repository: https://CRAN.R-project.org/package=mets
repository-code: https://github.com/kkholst/mets
url: https://kkholst.github.io/mets/
date-released: '2024-02-16'
contact:
- family-names: Holst
  given-names: Klaus K.
  email: klaus@holst.it
references:
- type: article
  title: Estimating heritability for cause specific mortality based on twin studies
  authors:
  - family-names: Scheike
    given-names: Thomas H.
  - family-names: Holst
    given-names: Klaus K.
  - family-names: Hjelmborg
    given-names: Jacob B.
  year: '2014'
  volume: '20'
  issue: '2'
  journal: Lifetime Data Analysis
  doi: 10.1007/s10985-013-9244-x
  start: 210-233