Package: fableCount 0.1.0

Gustavo Almeida

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.

Authors:Gustavo Almeida [aut, cre], Marcel Vieira [aut], Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq [fnd], JFSalvando Todos - Plataforma de Análises Estatísticas [fnd, cph]

fableCount_0.1.0.tar.gz
fableCount_0.1.0.tar.gz(r-4.5-noble)fableCount_0.1.0.tar.gz(r-4.4-noble)
fableCount_0.1.0.tgz(r-4.4-emscripten)fableCount_0.1.0.tgz(r-4.3-emscripten)
fableCount.pdf |fableCount.html✨
fableCount/json (API)

# Install 'fableCount' in R:
install.packages('fableCount', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 231 downloads 2 exports 56 dependencies

Last updated 12 months agofrom:0b4eb34a20. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-linuxNOTEMar 02 2025

Exports:GLARMAINGARCH

Dependencies:anytimeBHclicolorspacecpp11digestdistributionaldplyrellipsisfablefabletoolsfansifarvergenericsggdistggplot2glarmagluegtableisobandlabelinglatticelifecycleltsalubridatemagrittrMASSMatrixmgcvmunsellnlmenumDerivpillarpkgconfigprogressrpurrrquadprogR6rappdirsRColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselecttimechangetscounttsibbletsibbledatautf8vctrsviridisLitewithr