predictCounts

predictCounts.familyWALScount

Predicts the probability of counts given a family object of class
<code>"familyWALScount"</code>. Only works for count data models.

Implements Weighted-Average Least Squares model averaging
for negative binomial regression models of Huynh (2024) <doi:10.48550/arXiv.2404.11324>,
generalized linear models of De Luca, Magnus, Peracchi (2018)
<doi:10.1016/j.jeconom.2017.12.007> and linear regression models of
Magnus, Powell, Pruefer (2010) <doi:10.1016/j.jeconom.2009.07.004>, see also
Magnus, De Luca (2016) <doi:10.1111/joes.12094>. Weighted-Average Least Squares
for the linear regression model is based on the original 'MATLAB' code by
Magnus and De Luca <https://www.janmagnus.nl/items/WALS.pdf>, see also
Kumar, Magnus (2013) <doi:10.1007/s13571-013-0060-9> and
De Luca, Magnus (2011) <doi:10.1177/1536867X1201100402>.

Kevin Huynh

WALS

Weighted-Average Least Squares Model Averaging

predictCounts function

<dl><dt>x</dt>
<dd>object of class <code>"familyWALScount"</code>.</dd>
<dt>...</dt>
<dd>Further parameters passed to <code><a href="/link/density()?package=WALS&version=0.2.5" data-mini-rdoc="WALS::density()">density()</a></code> function in
<code>family</code>.</dd>
<dt>yUnique</dt>
<dd>vector. The counts (larger or equal to zero) which to predict
probabilities for.</dd>
<dt>rowNames</dt>
<dd>vector. The names of the observations.</dd>
<dt>eta</dt>
<dd>vector. The fitted linear link \(\hat{\eta}\) of the model.</dd></dl>

Arguments

Internal methods: Predict probability for counts — predictCounts

<dl>

<dt>x</dt>
<dd>object of class <code>"familyWALScount"</code>.</dd>


<dt>...</dt>
<dd>Further parameters passed to <code><a href='https://rdrr.io/r/stats/density.html'>density()</a></code> function in
<code>family</code>.</dd>


<dt>yUnique</dt>
<dd>vector. The counts (larger or equal to zero) which to predict
probabilities for.</dd>


<dt>rowNames</dt>
<dd>vector. The names of the observations.</dd>


<dt>eta</dt>
<dd>vector. The fitted linear link \(\hat{\eta}\) of the model.</dd>

</dl>

predictCounts: Internal methods: Predict probability for counts

Description

Usage

Value

Arguments

Details

References