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fableCount  

INGARCH and GLARMA Models for Count Time Series in Fable Framework
View on CRAN: Click here


Download and install fableCount package within the R console
Install from CRAN:
install.packages("fableCount")

Install from Github:
library("remotes")
install_github("cran/fableCount")

Install by package version:
library("remotes")
install_version("fableCount", "0.1.0")



Attach the package and use:
library("fableCount")
Maintained by
Gustavo Almeida
[Scholar Profile | Author Map]
First Published: 2024-04-05
Latest Update: 2024-04-05
Description:
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.
How to cite:
Gustavo Almeida (2024). fableCount: INGARCH and GLARMA Models for Count Time Series in Fable Framework. R package version 0.1.0, https://cran.r-project.org/web/packages/fableCount. Accessed 21 Feb. 2025.
Previous versions and publish date:
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