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.
- Version0.1.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release04/05/2024
Documentation
Team
Gustavo Almeida
Marcel Vieira
Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq
Show author detailsRolesfndJFSalvando Todos - Plataforma de Análises Estatísticas
Show author detailsRolesfnd, Copyright holder
Insights
Last 30 days
This package has been downloaded 182 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,859 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 72 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends4 packages
- Imports8 packages
- Suggests8 packages