mcp-package: mcp: Regression with Multiple Change Points

In mcp: Regression with Multiple Change Points

mcp: Regression with Multiple Change Points

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.31219/osf.io/fzqxv")} and generalizes the approach described in Carlin, Gelfand, & Smith (1992) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2347570")} and Stephens (1994) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2986119")}.

Author(s)

Maintainer: Jonas Kristoffer Lindeløv [e-mail] (ORCID)

See Also

Useful links:

• https://lindeloev.github.io/mcp/

• Report bugs at https://github.com/lindeloev/mcp/issues

mcp documentation built on May 29, 2024, 6:15 a.m.