fableCount: INGARCH and GLARMA Models for Count Time Series in Fable Framework

Provides a tidy R interface for count time series analysis. It includes implementation of the INGARCH (Integer Generalized Autoregressive Conditional Heteroskedasticity) model from the 'tscount' package and the GLARMA (Generalized Linear Autoregressive Moving Averages) model from the 'glarma' package. Additionally, it offers automated parameter selection algorithms based on the minimization of a penalized likelihood.

Version: 0.1.0
Depends: R (≥ 4.0.0), fabletools (≥ 0.3.0), tscount (≥ 1.4.3), glarma (≥ 1.6.0), fable (≥ 0.3.4)
Imports: stats, dplyr (≥ 1.0.0), tsibble (≥ 0.9.0), tibble, tidyr, distributional, lubridate, stringr, tsibbledata
Suggests: Rcpp, utils, rlang, covr, feasts, forecast, knitr, rmarkdown, testthat
Published: 2024-04-05
DOI: 10.32614/CRAN.package.fableCount
Author: Gustavo Almeida ORCID iD [aut, cre], Marcel Vieira ORCID iD [aut], Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq [fnd], JFSalvando Todos - Plataforma de Análises Estatísticas [fnd, cph]
Maintainer: Gustavo Almeida <gustavoalmeidasilva at ice.ufjf.br>
License: MIT + file LICENSE
NeedsCompilation: no
In views: TimeSeries
CRAN checks: fableCount results

Documentation:

Reference manual: fableCount.pdf

Downloads:

Package source: fableCount_0.1.0.tar.gz
Windows binaries: r-devel: fableCount_0.1.0.zip, r-release: fableCount_0.1.0.zip, r-oldrel: fableCount_0.1.0.zip
macOS binaries: r-devel (arm64): fableCount_0.1.0.tgz, r-release (arm64): fableCount_0.1.0.tgz, r-oldrel (arm64): fableCount_0.1.0.tgz, r-devel (x86_64): fableCount_0.1.0.tgz, r-release (x86_64): fableCount_0.1.0.tgz, r-oldrel (x86_64): fableCount_0.1.0.tgz

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