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