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fableCount (version 0.1.0)

INGARCH and GLARMA Models for Count Time Series in Fable Framework

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.

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Version

Install

install.packages('fableCount')

Monthly Downloads

210

Version

0.1.0

License

MIT + file LICENSE

Maintainer

Gustavo Silva

Last Published

April 5th, 2024

Functions in fableCount (0.1.0)

residuals.INGARCH

Extract residuals from a fable model
GLARMA

Estimate a GLARMA model
INGARCH

Estimate a INGARCH model
forecast.INGARCH

Forecast a model from the fable package
forecast.GLARMA

Forecast a model from the fable package
tidy.GLARMA

Tidy a fable model
glance.GLARMA

Glance a GLARMA model
glance.INGARCH

Glance a INGARCH model
tidy.INGARCH

Tidy a fable model
residuals.GLARMA

Extract residuals from a fable model
fitted.INGARCH

Extract fitted values from a fable model
fitted.GLARMA

Extract fitted values from a fable model