Package: BTWAR 1.0.1

BTWAR: Butterworth-Induced Autoregressive Model

Implements the Butterworth-Induced Autoregressive ('BTWAR') model, where autoregressive coefficients are obtained from analog Butterworth filter prototypes mapped into the discrete-time domain using the Matched Z-Transform. The framework establishes a structured connection between frequency-domain filter design and time-domain autoregressive modeling. Model order selection is performed via nested rolling-origin cross-validation. Method described in Bras-Geraldes, Rocha and Martins (2026) <doi:10.3390/math14030479>.

Authors:Carlos Bras-Geraldes [aut, cre, cph], J. Leonel Rocha [aut, cph]

BTWAR_1.0.1.tar.gz
BTWAR_1.0.1.zip(r-4.7)BTWAR_1.0.1.zip(r-4.6)BTWAR_1.0.1.zip(r-4.5)
BTWAR_1.0.1.tgz(r-4.6-any)BTWAR_1.0.1.tgz(r-4.5-any)
BTWAR_1.0.1.tar.gz(r-4.7-any)BTWAR_1.0.1.tar.gz(r-4.6-any)
BTWAR_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
BTWAR/json (API)
NEWS

# Install 'BTWAR' in R:
install.packages('BTWAR', repos = c('https://cgeraldes.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cgeraldes/btwar/issues

On CRAN:

Conda:

3.48 score 2 scripts 503 downloads 12 exports 27 dependencies

Last updated from:1e0a572945. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK126
source / vignettesOK224
linux-release-x86_64OK130
macos-release-arm64OK200
macos-oldrel-arm64OK152
windows-develOK108
windows-releaseOK80
windows-oldrelOK107
wasm-releaseOK107

Exports:apply_stationaritybtwar_fitcompute_spectrummseplot_bodeplot_freq_amplitudeplot_zpolespoles_ARrmsesimulate_ar_splityhat_aryhat_arma

Dependencies:clicpp11curlfarverggplot2gluegtableisobandjsonlitelabelinglatticelifecyclepracmaquadprogquantmodR6RColorBrewerrlangS7scalestseriesTTRvctrsviridisLitewithrxtszoo

Introduction to the BTWAR Package

Rendered fromBTWAR.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2026-03-15
Started: 2026-03-01