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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
abstract: Implements parametric modal Autoregressive Integrated Moving Average (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. Methods are described in Galarza, C.E., Lachos,
  V.H., Cabral, C.R.B., & Castro, L.M. (2017) <https://doi.org/10.1002/sta4.140>.
authors:
- family-names: Galarza
  given-names: Christian
  email: chedgala@espol.edu.ec
repository: https://cran.r-universe.dev
repository-code: https://github.com/chedgala/ModalForecast
commit: 8d30c7232467d00871410cc5308bb7fc6e21dcb7
url: https://github.com/chedgala/ModalForecast
date-released: '2026-05-12'
contact:
- family-names: Galarza
  given-names: Christian
  email: chedgala@espol.edu.ec