geom_quantiles

Called by <code>plot.mcpfit</code>.

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

geom_quantiles function

<dl><dt>samples</dt>
<dd>A tidybayes tibble</dd>
<dt>quantiles</dt>
<dd>Vector of quantiles (0.0 to 1.0)</dd>
<dt>xvar</dt>
<dd>An rlang::sym() with the name of the x-col in <code>samples</code></dd>
<dt>yvar</dt>
<dd>An rlang::sym() with the name of the response col in <code>samples</code></dd>
<dt>facet_by</dt>
<dd>String. Name of a varying group.</dd>
<dt>...</dt>
<dd>Arguments passed to geom_line</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

Return a geom_line representing the quantiles — geom_quantiles

<dl>

<dt>samples</dt>
<dd>A tidybayes tibble</dd>


<dt>quantiles</dt>
<dd>Vector of quantiles (0.0 to 1.0)</dd>


<dt>xvar</dt>
<dd>An rlang::sym() with the name of the x-col in <code>samples</code></dd>


<dt>yvar</dt>
<dd>An rlang::sym() with the name of the response col in <code>samples</code></dd>


<dt>facet_by</dt>
<dd>String. Name of a varying group.</dd>


<dt>...</dt>
<dd>Arguments passed to geom_line</dd>

</dl>

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

geom_quantiles: Return a geom_line representing the quantiles

Description

Usage

Value

Arguments

Author