unpack_rhs

This is a pretty big function. It includes unpacking sigma(), ar(), etc.

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

unpack_rhs function

<dl><dt>form_rhs</dt>
<dd>A character representation of a formula</dd>
<dt>i</dt>
<dd>The segment number (integer)</dd>
<dt>family</dt>
<dd>An mcpfamily object returned by <code>mcpfamily()</code>.</dd>
<dt>data</dt>
<dd>A data.frame or tibble</dd>
<dt>last_segment</dt>
<dd>The last row in the segment table, made in <code>get_segment_table()</code></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

Unpack right-hand side — unpack_rhs

<dl>

<dt>form_rhs</dt>
<dd>A character representation of a formula</dd>


<dt>i</dt>
<dd>The segment number (integer)</dd>


<dt>family</dt>
<dd>An mcpfamily object returned by <code>mcpfamily()</code>.</dd>


<dt>data</dt>
<dd>A data.frame or tibble</dd>


<dt>last_segment</dt>
<dd>The last row in the segment table, made in <code>get_segment_table()</code></dd>

</dl>

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

unpack_rhs: Unpack right-hand side

Description

Usage

Value

Arguments

Author