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.zip(r-4.7-any)fableCount_0.1.0.zip(r-4.6-any)
fableCount_0.1.0.tar.gz(r-4.7-any)fableCount_0.1.0.tar.gz(r-4.6-any)
fableCount_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 365 downloads 2 exports 49 dependencies

Last updated from:0b4eb34a20. Checks:4 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE164
source / vignettesOK215
linux-releaseNOTE164
windows-develNOTE148
windows-releaseNOTE106
wasm-releaseOK130

Exports:GLARMAINGARCH

Dependencies:anytimeBHclicpp11digestdistributionaldplyrfablefabletoolsfarvergenericsggdistggplot2glarmagluegtableisobandlabelinglifecycleltsalubridatemagrittrMASSnumDerivpillarpkgconfigprogressrpurrrquadprogR6rappdirsRColorBrewerRcpprlangS7scalesstringistringrtibbletidyrtidyselecttimechangetscounttsibbletsibbledatautf8vctrsviridisLitewithr