bart-internal

bartMachine_interval_calc

dbart_predict_calc

Developer functions for predictions via BART models

internal

A common interface is provided to allow users to specify a
model without having to remember the different argument names across
different functions or computational engines (e.g. 'R', 'Spark',
'Stan', 'H2O', etc).

Max Kuhn

parsnip

A Common API to Modeling and Analysis Functions

Davis Vaughan

Emil Hvitfeldt

Posit Software, PBC 

bart-internal function

<dl><dt>new_data</dt>
<dd>A rectangular data object, such as a data frame.</dd>
<dt>obj</dt>
<dd>A parsnip object.</dd>
<dt>ci</dt>
<dd>Confidence (TRUE) or prediction interval (FALSE)</dd>
<dt>level</dt>
<dd>Confidence level.</dd>
<dt>type</dt>
<dd>A single character value or <code>NULL</code>. Possible values
are <code>"numeric"</code>, <code>"class"</code>, <code>"prob"</code>, <code>"conf_int"</code>, <code>"pred_int"</code>,
<code>"quantile"</code>, <code>"time"</code>, <code>"hazard"</code>, <code>"survival"</code>, or <code>"raw"</code>. When <code>NULL</code>,
<code><a href="/link/predict()?package=parsnip&version=1.1.0" data-mini-rdoc="parsnip::predict()">predict()</a></code> will choose an appropriate value based on the model's mode.</dd>
<dt>std_err</dt>
<dd>Attach column for standard error of prediction or not.</dd></dl>

Arguments

Developer functions for predictions via BART models — bart-internal

<dl>

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


<dt>obj</dt>
<dd>A parsnip object.</dd>


<dt>ci</dt>
<dd>Confidence (TRUE) or prediction interval (FALSE)</dd>


<dt>level</dt>
<dd>Confidence level.</dd>


<dt>type</dt>
<dd>A single character value or <code>NULL</code>. Possible values
are <code>"numeric"</code>, <code>"class"</code>, <code>"prob"</code>, <code>"conf_int"</code>, <code>"pred_int"</code>,
<code>"quantile"</code>, <code>"time"</code>, <code>"hazard"</code>, <code>"survival"</code>, or <code>"raw"</code>. When <code>NULL</code>,
<code><a href='https://rdrr.io/r/stats/predict.html'>predict()</a></code> will choose an appropriate value based on the model's mode.</dd>


<dt>std_err</dt>
<dd>Attach column for standard error of prediction or not.</dd>

</dl>

bart-internal: Developer functions for predictions via BART models

Description

Usage

Arguments