get_summary

get_summary.mcpfit

Internal function for summary.mcpfit, fixef.mcpfit, and ranef.mcpfit

internal

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>.

Jonas Kristoffer Lindel<c3><b8>v

Regression with Multiple Change Points

Jonas Kristoffer Lindeløv

get_summary function

<dl><dt>fit</dt>
<dd>An <code>mcpfit</code>` object.</dd>
<dt>width</dt>
<dd>Float. The width of the highest posterior density interval
(between 0 and 1).</dd>
<dt>varying</dt>
<dd>Boolean. Get results for varying (TRUE) or population (FALSE)?</dd>
<dt>prior</dt>
<dd>TRUE/FALSE. Summarise prior instead of posterior?</dd></dl>

Arguments

Jonas Kristoffer Lindeløv <a href="/link/jonas%40lindeloev.dk?package=mcp&version=0.3.3" data-mini-rdoc="mcp::jonas@lindeloev.dk">jonas@lindeloev.dk</a>

Author

Internal function for summary.mcpfit, fixef.mcpfit, and ranef.mcpfit — get_summary

<dl>

<dt>fit</dt>
<dd>An <code>mcpfit</code>` object.</dd>


<dt>width</dt>
<dd>Float. The width of the highest posterior density interval
(between 0 and 1).</dd>


<dt>varying</dt>
<dd>Boolean. Get results for varying (TRUE) or population (FALSE)?</dd>


<dt>prior</dt>
<dd>TRUE/FALSE. Summarise prior instead of posterior?</dd>

</dl>

Jonas Kristoffer Lindeløv <a href='mailto:jonas@lindeloev.dk'>jonas@lindeloev.dk</a>

get_summary: Internal function for summary.mcpfit, fixef.mcpfit, and ranef.mcpfit

Description

Usage

Value

Arguments

Author