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.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0), fabletools (≥ 0.3.0), tscount (≥ 1.4.3), glarma (≥ 1.6.0), fable (≥ 0.3.4) |
| Imports: | stats, dplyr (≥ 1.0.0), tsibble (≥ 0.9.0), tibble, tidyr, distributional, lubridate, stringr, tsibbledata |
| Suggests: | Rcpp, utils, rlang, covr, feasts, forecast, knitr, rmarkdown, testthat |
| Published: | 2024-04-05 |
| DOI: | 10.32614/CRAN.package.fableCount |
| Author: | Gustavo Almeida |
| Maintainer: | Gustavo Almeida <gustavoalmeidasilva at ice.ufjf.br> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| In views: | TimeSeries |
| CRAN checks: | fableCount results |
| Reference manual: | fableCount.html , fableCount.pdf |
| Package source: | fableCount_0.1.0.tar.gz |
| Windows binaries: | r-devel: fableCount_0.1.0.zip, r-release: fableCount_0.1.0.zip, r-oldrel: fableCount_0.1.0.zip |
| macOS binaries: | r-release (arm64): fableCount_0.1.0.tgz, r-oldrel (arm64): fableCount_0.1.0.tgz, r-release (x86_64): fableCount_0.1.0.tgz, r-oldrel (x86_64): fableCount_0.1.0.tgz |
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