print.mcpprior

An <code><a rd-options="" href="/link/mcpfit?package=mcp&version=0.3.0" data-mini-rdoc="mcp::mcpfit">mcpfit</a></code> object.

The mcpprior is just a list, but it can be displayed in a more condensed
way using cbind.

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 Lindel<c3><b8>v (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>.

Jonas Kristoffer Lindel<c3><b8>v

Regression with Multiple Change Points

print.mcpprior function

An <code><a rd-options='' href='mcpfit'>mcpfit</a></code> object.

print.mcpprior: Print mcpprior

Description

Usage

Arguments