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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "clis" in publications use:'
type: software
license: GPL-3.0-only
title: 'clis: Conformal Local Influence Screening for Bounded-Response Regression'
version: 0.3.6
doi: 10.32614/CRAN.package.clis
abstract: Provides fast, statistically calibrated influence diagnostics for zero-or-one
  inflated beta (BIc) regression models with variable dispersion. The core idea is
  to use the conformal normal curvature of Poon and Poon (1999) <https://doi.org/10.1111/1467-9868.00162>
  as a non-conformity score within a split-conformal testing procedure, yielding per-observation
  conformal p-values whose Benjamini-Hochberg adjustment controls the false discovery
  rate at a user-specified level (Bates and others, 2023) <https://doi.org/10.1214/22-AOS2244>.
  Unlike classical local influence diagnostics, which rely on visual inspection of
  index plots and do not scale beyond a few hundred observations, 'clis' provides
  a finite-sample error guarantee and runs in linear time per observation after a
  single model fit. Methods for four perturbation schemes, block decomposition of
  influence into the inflation-probability and conditional-mean/precision components,
  penalised additive (semiparametric) submodels, and a full suite of diagnostic plots
  are included.
authors:
- family-names: Ospina
  given-names: Raydonal
  email: raydonal@de.ufpe.br
  orcid: https://orcid.org/0000-0002-9884-9090
repository: https://raydonal.r-universe.dev
repository-code: https://github.com/Raydonal/clis
commit: 1b80ed1b0a9ddaf17e4a7f9cf5ad9ec858a4a42a
url: https://raydonal.github.io/clis/
date-released: '2026-09-19'
contact:
- family-names: Ospina
  given-names: Raydonal
  email: raydonal@de.ufpe.br
  orcid: https://orcid.org/0000-0002-9884-9090