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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ModalForecast" in publications use:'
type: software
license: GPL-3.0-only
title: 'ModalForecast: Parametric Modal ARIMA Models using the SKD Family'
version: 0.1.0
doi: 10.32614/CRAN.package.ModalForecast
abstract: Implements parametric modal ARIMA models utilizing the Skewed Distribution
  (SKD) family. Current distributions supported are the Skew-Normal, Skewed Student-t,
  and Skewed Laplace. The conditional mode is parameterized and optimized via maximum
  likelihood using analytical gradients. Includes comprehensive residual diagnostics,
  robustness options (heavy tails, asymmetry), robust parametric bootstrap prediction
  intervals, and classical asymptotic inference via the Fisher Information matrix.
authors:
- family-names: Galarza
  given-names: Christian
  email: chedgala@espol.edu.ec
repository: https://chedgala.r-universe.dev
repository-code: https://github.com/chedgala/ModalForecast
commit: debde16d4dc44b9359c325419fb94c985c335296
url: https://github.com/chedgala/ModalForecast
date-released: '2026-04-28'
contact:
- family-names: Galarza
  given-names: Christian
  email: chedgala@espol.edu.ec