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mcp

Regression with Multiple Change Points

v0.3.4 · Mar 17, 2024 · GPL-2

Description

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>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Reverse Dependencies (1)

imports

Dependency Network

Dependencies Reverse dependencies future future.apply rjags (>= 4.9) coda loo bayesplot tidybayes dplyr magrittr tidyr tidyselect tibble stringr ggplot2 patchwork +1 more dependencies glossa mcp

Version History

new 0.3.4 Mar 9, 2026