doi:10.1080/01621459.1983.10478005>, Box, Jenkins, Reinsel and Ljung , Box, Pierce and Newbold (1987) <doi:10.1080/01621459.1987.10478430>, Box and Tiao (1975) <doi:10.1080/01621459.1975.10480264>, Chen and Liu (1993) <doi:10.1080/01621459.1993.10594321>.">

tfarima: Transfer Function and ARIMA Models (original) (raw)

Building customized transfer function and ARIMA models with multiple operators and parameter restrictions. Functions for model identification, model estimation (exact or conditional maximum likelihood), model diagnostic checking, automatic outlier detection, calendar effects, forecasting and seasonal adjustment. See Bell and Hillmer (1983) <doi:10.1080/01621459.1983.10478005>, Box, Jenkins, Reinsel and Ljung ISBN:978-1-118-67502-1, Box, Pierce and Newbold (1987) <doi:10.1080/01621459.1987.10478430>, Box and Tiao (1975) <doi:10.1080/01621459.1975.10480264>, Chen and Liu (1993) <doi:10.1080/01621459.1993.10594321>.

Version: 0.3.2
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.0), stats, numDeriv, zoo
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2022-05-20
DOI: 10.32614/CRAN.package.tfarima
Author: Jose L. Gallego [aut, cre]
Maintainer: Jose L. Gallego <jose.gallego at unican.es>
License: GPL-2
URL: https://github.com/gallegoj/tfarima
NeedsCompilation: yes
Materials: README
In views: TimeSeries
CRAN checks: tfarima results [issues need fixing before 2025-11-15]

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