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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "gilmour" in publications use:'
type: software
license: GPL-3.0-only
title: 'gilmour: The Interpretation of Adjusted Cp Statistic'
version: 0.1.1
doi: 10.32614/CRAN.package.gilmour
abstract: Several methods may be found for selecting a subset of regressors from a
  set of k candidate variables in multiple linear regression. One possibility is to
  evaluate all possible regression models and comparing them using Mallows's Cp statistic
  (Cp) according to Gilmour original study. Full model is calculated, all possible
  combinations of regressors are generated, adjusted Cp for each submodel are computed,
  and the submodel with the minimum adjusted value Cp (ModelMin) is calculated. To
  identify the final model, the package applies a sequence of hypothesis tests on
  submodels nested within ModelMin, following the approach outlined in Gilmour's original
  paper. For more details see the help of the function final_model() and the original
  study (1996) <https://doi.org/10.2307/2348411>.
authors:
- family-names: Dolejs
  given-names: Josef
  email: josef.dolejs@uhk.cz
  orcid: https://orcid.org/0000-0002-3224-585X
repository: https://dolejs1993.r-universe.dev
commit: e951ac8c94d584577a0e920e4a9268a3a843d737
date-released: '2025-07-10'
contact:
- family-names: Dolejs
  given-names: Josef
  email: josef.dolejs@uhk.cz
  orcid: https://orcid.org/0000-0002-3224-585X