get_jags_data

Returns the relevant data columns as a list and add elements with unique
varying group levels.

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_jags_data function

<dl><dt>data</dt>
<dd>A tibble</dd>
<dt>ST</dt>
<dd>A segment table (tibble), returned by <code>get_segment_table</code>.</dd>
<dt>jags_code</dt>
<dd>A string. JAGS model, usually returned by <code>make_jagscode()</code>.</dd>
<dt>sample</dt>
<dd>One of<ul>
<li><code>"post"</code>: Sample the posterior.</li>
<li><code>"prior"</code>: Sample only the prior. Plots, summaries, etc. will
use the prior. This is useful for prior predictive checks.</li>
<li><code>"both"</code>: Sample both prior and posterior. Plots, summaries, etc.
will default to using the posterior. The prior only has effect when doing
Savage-Dickey density ratios in <code>hypothesis</code>.</li>
<li><code>"none"</code> or <code>FALSE</code>: Do not sample. Returns an mcpfit
object without sample. This is useful if you only want to check
prior strings (fit$prior), the JAGS model (fit$jags_code), etc.</li>
</ul></dd></dl>

Arguments

Adds helper variables for use in run_jags — get_jags_data

<dl>

<dt>data</dt>
<dd>A tibble</dd>


<dt>ST</dt>
<dd>A segment table (tibble), returned by <code>get_segment_table</code>.</dd>


<dt>jags_code</dt>
<dd>A string. JAGS model, usually returned by <code>make_jagscode()</code>.</dd>


<dt>sample</dt>
<dd>One of<ul>
<li><code>"post"</code>: Sample the posterior.</li>
<li><code>"prior"</code>: Sample only the prior. Plots, summaries, etc. will
use the prior. This is useful for prior predictive checks.</li>
<li><code>"both"</code>: Sample both prior and posterior. Plots, summaries, etc.
will default to using the posterior. The prior only has effect when doing
Savage-Dickey density ratios in <code>hypothesis</code>.</li>
<li><code>"none"</code> or <code>FALSE</code>: Do not sample. Returns an mcpfit
object without sample. This is useful if you only want to check
prior strings (fit$prior), the JAGS model (fit$jags_code), etc.</li>
</ul></dd>

</dl>

get_jags_data: Adds helper variables for use in `run_jags`

Description

Usage

Arguments