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 [aut, cre], Marcel Vieira [aut], Conselho Nacional de Desenvolvimento CientÃfico e Tecnológico - CNPq [fnd], JFSalvando Todos - Plataforma de Análises EstatÃsticas [fnd, cph] Maintainer: Gustavo Almeida <gustavoalmeidasilva at ice.ufjf.br> License: MIT + file LICENSE NeedsCompilation: no In views: TimeSeries CRAN checks: fableCount results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fableCount to link to this page.
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