mcp: Regression with Multiple Change Points

Flexible and informed regression with Multiple Change Points (MCP). '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>.

Package details

AuthorJonas Kristoffer Lindeløv [aut, cre] (<https://orcid.org/0000-0003-4565-0595>)
MaintainerJonas Kristoffer Lindeløv <jonas@lindeloev.dk>
LicenseGPL-2
Version0.3.0
URL http://lindeloev.github.io/mcp/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mcp")

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mcp documentation built on Aug. 3, 2020, 5:07 p.m.