tfarima: Transfer Function and ARIMA Models

Build customized transfer function and ARIMA models with multiple operators and parameter restrictions. Provides tools for model identification, estimation using exact or conditional maximum likelihood, diagnostic checking, automatic outlier detection, calendar effects, forecasting, and seasonal adjustment. The new version also supports unobserved component ARIMA model specification and estimation for structural time series analysis.

Version: 0.4.1
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0), stats, MASS, numDeriv, zoo, nnls, quadprog
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2025-11-03
DOI: 10.32614/CRAN.package.tfarima
Author: Jose L. Gallego [aut, cre]
Maintainer: Jose L. Gallego <jose.gallego at unican.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/gallegoj/tfarima
NeedsCompilation: yes
Materials: README
In views: TimeSeries
CRAN checks: tfarima results

Documentation:

Reference manual: tfarima.html , tfarima.pdf
Vignettes: tfarima (source, R code)

Downloads:

Package source: tfarima_0.4.1.tar.gz
Windows binaries: r-devel: tfarima_0.3.2.zip, r-release: tfarima_0.3.2.zip, r-oldrel: tfarima_0.3.2.zip
macOS binaries: r-release (arm64): tfarima_0.3.2.tgz, r-oldrel (arm64): tfarima_0.3.2.tgz, r-release (x86_64): tfarima_0.4.1.tgz, r-oldrel (x86_64): tfarima_0.4.1.tgz
Old sources: tfarima archive

Linking:

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