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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: | 1.2.1 |
Imports: | ltsa (≥ 1.4.6), Rcpp (≥ 0.12.5), MASS, forecast |
LinkingTo: | Rcpp, RcppArmadillo, BH |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-03-13 |
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 |
Reference manual: | beyondWhittle.pdf |
Package source: | beyondWhittle_1.2.1.tar.gz |
Windows binaries: | r-devel: beyondWhittle_1.2.1.zip, r-release: beyondWhittle_1.2.1.zip, r-oldrel: beyondWhittle_1.2.1.zip |
macOS binaries: | r-release (arm64): beyondWhittle_1.2.1.tgz, r-oldrel (arm64): beyondWhittle_1.2.1.tgz, r-release (x86_64): beyondWhittle_1.2.1.tgz, r-oldrel (x86_64): beyondWhittle_1.2.1.tgz |
Old sources: | beyondWhittle archive |
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