Welcome to ClientVPS Mirrors

CRAN: Package beyondWhittle

beyondWhittle: Bayesian Spectral Inference for Time Series

Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate time series. The package is based on the methods presented in C. Kirch et al (2018) <doi:10.1214/18-BA1126>, A. Meier (2018) <https://opendata.uni-halle.de//handle/1981185920/13470> and Y. Tang et al (2023) <doi:10.48550/arXiv.2303.11561>. It was supported by DFG grants KI 1443/3-1 and KI 1443/3-2.

Version: 1.3.0
Imports: ltsa (≥ 1.4.6), Rcpp (≥ 0.12.5), MASS, forecast
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat (≥ 3.0.0)
Published: 2024-11-25
DOI: 10.32614/CRAN.package.beyondWhittle
Author: Alexander Meier [aut], Claudia Kirch [aut], Matthew C. Edwards [aut], Renate Meyer [aut, cre], Yifu Tang [aut]
Maintainer: Renate Meyer <renate.meyer at auckland.ac.nz>
License: GPL (≥ 3)
NeedsCompilation: yes
In views: TimeSeries
CRAN checks: beyondWhittle results

Documentation:

Reference manual: beyondWhittle.html , beyondWhittle.pdf

Downloads:

Package source: beyondWhittle_1.3.0.tar.gz
Windows binaries: r-devel: beyondWhittle_1.3.0.zip, r-release: beyondWhittle_1.3.0.zip, r-oldrel: beyondWhittle_1.3.0.zip
macOS binaries: r-release (arm64): beyondWhittle_1.3.0.tgz, r-oldrel (arm64): beyondWhittle_1.3.0.tgz, r-release (x86_64): beyondWhittle_1.3.0.tgz, r-oldrel (x86_64): beyondWhittle_1.3.0.tgz
Old sources: beyondWhittle archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=beyondWhittle to link to this page.

Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.

This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.