logLik.bent_cable

Return the log-Likelihood value for a fitted bent-cable model.

Calculates and plots the SiZer map for scatterplot data.  A
SiZer map is a way of examining when the p-th derivative of a
scatterplot-smoother is significantly negative, possibly zero or
significantly positive across a range of smoothing bandwidths.

Derek Sonderegger

SiZer

Significant Zero Crossings

logLik.bent_cable function

<dl><dt>object</dt>
<dd>A bent-cable model</dd>
<dt>...</dt>
<dd>Unused at this time.</dd></dl>

Arguments

Return the log-Likelihood value for a fitted bent-cable model. — logLik.bent_cable

<dl>

<dt>object</dt>
<dd>A bent-cable model</dd>


<dt>...</dt>
<dd>Unused at this time.</dd>

</dl>

logLik.bent_cable: Return the log-Likelihood value for a fitted bent-cable model.

Description

Usage

Arguments