Flexible and informed regression with Multiple Change Points. 'mcp' can infer change points in means, variances, autocorrelation structure, and any combination of these, as well as the parameters of the segments in between. All parameters are estimated with uncertainty and prediction intervals are supported - also near the change points. 'mcp' supports hypothesis testing via Savage-Dickey density ratio, posterior contrasts, and cross-validation. 'mcp' is described in Lindeløv (submitted) <doi:10.31219/osf.io/fzqxv> and generalizes the approach described in Carlin, Gelfand, & Smith (1992) <doi:10.2307/2347570> and Stephens (1994) <doi:10.2307/2986119>.
Version: 0.3.4 Depends: R (≥ 3.5.0) Imports: parallel, future (≥ 1.16), future.apply (≥ 1.4), rjags (≥ 4.9), coda (≥ 0.19.3), loo (≥ 2.1.0), bayesplot (≥ 1.7.0), tidybayes (≥ 3.0.0), dplyr (≥ 1.1.1), magrittr (≥ 1.5), tidyr (≥ 1.0.0), tidyselect (≥ 0.2.5), tibble (≥ 2.1.3), stringr (≥ 1.4.0), ggplot2 (≥ 3.2.1), patchwork (≥ 1.0.0), stats, rlang (≥ 0.4.1) Suggests: hexbin, testthat (≥ 3.1.0), purrr (≥ 0.3.4), knitr, rmarkdown Published: 2024-03-17 DOI: 10.32614/CRAN.package.mcp Author: Jonas Kristoffer Lindeløv [aut, cre] Maintainer: Jonas Kristoffer Lindeløv <jonas at lindeloev.dk> BugReports: https://github.com/lindeloev/mcp/issues License: GPL-2 URL: https://lindeloev.github.io/mcp/ NeedsCompilation: no Language: en-US Citation: mcp citation info Materials: README NEWS CRAN checks: mcp results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mcp to link to this page.
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