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fableCount: INGARCH and GLARMA Models for Count Time Series in FableFramework

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 AlmeidaORCID iD [aut, cre], Marcel VieiraORCID 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 + fileLICENSE
NeedsCompilation:no
In views:TimeSeries
CRAN checks:fableCount results

Documentation:

Reference manual:fableCount.html ,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-release (arm64):fableCount_0.1.0.tgz, r-oldrel (arm64):fableCount_0.1.0.tgz, r-release (x86_64):fableCount_0.1.0.tgz, r-oldrel (x86_64):fableCount_0.1.0.tgz

Linking:

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