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# CITATION.cff 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 "confintROB" in publications use:'
type: software
license: GPL-2.0-only
title: 'confintROB: Confidence Intervals for Robust and Classical Linear Mixed Model
  Estimators'
version: '1.2'
doi: 10.1037/met0000643
identifiers:
- type: doi
  value: 10.32614/CRAN.package.confintROB
abstract: 'The main function calculates confidence intervals (CI) for Mixed Models,
  utilizing both classical estimators from the lmer() function in the ''lme4'' package
  and robust estimators from the rlmer() function in the ''robustlmm'' package, as
  well as the varComprob() function in the ''robustvarComp'' package. Three methods
  are available: the classical Wald method, the wild bootstrap, and the parametric
  bootstrap. Bootstrap methods offer flexibility in obtaining lower and upper bounds
  through percentile or BCa methods. More details are given in Mason, F., Cantoni,
  E., & Ghisletta, P. (2021) <https://doi.org/10.5964/meth.6607> and Mason, F., Cantoni,
  E., & Ghisletta, P. (2024) <https://doi.org/10.1037/met0000643>.'
authors:
- family-names: Mason
  given-names: Fabio
  email: fabio.mason@unige.ch
- family-names: Koller
  given-names: Manuel
  email: kollerma@proton.me
preferred-citation:
  type: manual
  title: Linear mixed models and latent growth curve models for group comparison studies
    contaminated by outliers.
  authors:
  - family-names: Mason
    given-names: Fabio
    email: fabio.mason@unige.ch
  - family-names: Cantoni
    given-names: Eva
  - family-names: Ghisletta
    given-names: Paolo
  doi: 10.1037/met0000643
  url: https://psycnet.apa.org/record/2024-54080-001
  publisher:
    name: Psychological Methods
  year: '2024'
repository: https://cran.r-universe.dev
commit: e242b98b29f8f1198b22a82b65539e8bfb5ffb7c
date-released: '2026-10-24'
contact:
- family-names: Mason
  given-names: Fabio
  email: fabio.mason@unige.ch