predict_raw._fishnet

multi_predict._fishnet

For some models, predictions can be made on sub-models in the model object.

internal

Bindings for Poisson regression models for use with the
'parsnip' package. Models include simple generalized linear models,
Bayesian models, and zero-inflated Poisson models (Zeileis, Kleiber,
and Jackman (2008) <doi:10.18637/jss.v027.i08>).

Hannah Frick

poissonreg

Model Wrappers for Poisson Regression

Max Kuhn

RStudio 

predict_raw._fishnet function

<dl><dt>object</dt>
<dd>A <code>model_fit</code> object.</dd>
<dt>new_data</dt>
<dd>A rectangular data object, such as a data frame.</dd>
<dt>opts</dt>
<dd>A list of options..</dd>
<dt>...</dt>
<dd>Optional arguments to pass to <code>predict.model_fit(type = "raw")</code>
such as <code>type</code>.</dd>
<dt>penalty</dt>
<dd>A numeric vector of penalty values.</dd></dl>

Arguments

Model predictions across many sub-models — predict_raw._fishnet

<dl>

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


<dt>new_data</dt>
<dd>A rectangular data object, such as a data frame.</dd>


<dt>opts</dt>
<dd>A list of options..</dd>


<dt>...</dt>
<dd>Optional arguments to pass to <code>predict.model_fit(type = "raw")</code>
such as <code>type</code>.</dd>


<dt>penalty</dt>
<dd>A numeric vector of penalty values.</dd>

</dl>

predict_raw._fishnet: Model predictions across many sub-models

Description

Usage

Value

Arguments