predict.cbq

Create a vector of predictions from a <code>cbq</code> object.

Estimates conditional binary quantile models developed by Lu (2020) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.

Xiao Lu

Conditional Binary Quantile Models

predict.cbq function

<dl><dt>object</dt>
<dd>A <code>cbq</code> object.</dd>
<dt>data</dt>
<dd>Data used for prediction.</dd>
<dt>ci</dt>
<dd>Confidence interval. The default is 0.95.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Predictions based on the fitted parameter values — predict.cbq

<dl>

<dt>object</dt>
<dd>A <code>cbq</code> object.</dd>


<dt>data</dt>
<dd>Data used for prediction.</dd>


<dt>ci</dt>
<dd>Confidence interval. The default is 0.95.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

predict.cbq: Predictions based on the fitted parameter values

Description

Usage

Value

Arguments