Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2021) <doi:10.1080/01621459.2021.1909598>.
Version: 3.3.3 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.0), ggplot2, robustbase LinkingTo: Rcpp Published: 2023-01-06 DOI: 10.32614/CRAN.package.DeCAFS Author: Gaetano Romano [aut, cre], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut] Maintainer: Gaetano Romano <g.romano at lancaster.ac.uk> BugReports: https://github.com/gtromano/DeCAFS/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Materials: README NEWS CRAN checks: DeCAFS results Documentation: Reference manual: DeCAFS.pdf Downloads: Package source: DeCAFS_3.3.3.tar.gz Windows binaries: r-devel: DeCAFS_3.3.3.zip, r-release: DeCAFS_3.3.3.zip, r-oldrel: DeCAFS_3.3.3.zip macOS binaries: r-release (arm64): DeCAFS_3.3.3.tgz, r-oldrel (arm64): DeCAFS_3.3.3.tgz, r-release (x86_64): DeCAFS_3.3.3.tgz, r-oldrel (x86_64): DeCAFS_3.3.3.tgz Old sources: DeCAFS archive Linking:Please use the canonical form https://CRAN.R-project.org/package=DeCAFS to link to this page.
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