plot.quantreg.rfsrc

plot.quantreg

Plots quantiles obtained from a quantile regression forest.
 Additionally insets the continuous rank probability score (crps), a
 useful diagnostic of accuracy.

plot

Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes.  Extreme random forests and randomized splitting.  Suite of imputation methods for missing data.  Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance.  Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.

Udaya Kogalur

randomForestSRC

Fast Unified Random Forests for Survival, Regression, and
Classification (RF-SRC)

plot.quantreg.rfsrc function

<dl> <dt>x</dt>
<dd>A quantile regression object obtained from calling <code class="command">quantreg</code>.</dd> <dt>prbL</dt>
<dd>Lower quantile (preferably &lt; .5).</dd> <dt>prbU</dt>
<dd>Upper quantile (preferably &gt; .5).</dd> <dt>m.target</dt>
<dd>Character value for multivariate families
 specifying the target outcome to be used. If left unspecified, the
 algorithm will choose a default target.</dd> <dt>crps</dt>
<dd>Calculate crps and inset it?</dd> <dt>subset</dt>
<dd>Restricts plotted values to a subset of the data.
 Default is to use the entire data.</dd> <dt>xlab</dt>
<dd>Horizontal axis label.</dd> <dt>ylab</dt>
<dd>Vertical axis label.</dd> <dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Hemant Ishwaran and Udaya B. Kogalur

Author

Plot Quantiles from Quantile Regression Forests — plot.quantreg.rfsrc

<dl>

 <dt>x</dt>
<dd>A quantile regression object obtained from calling <code class='command'>quantreg</code>.</dd>

 <dt>prbL</dt>
<dd>Lower quantile (preferably &lt; .5).</dd>

 <dt>prbU</dt>
<dd>Upper quantile (preferably &gt; .5).</dd>

 <dt>m.target</dt>
<dd>Character value for multivariate families
 specifying the target outcome to be used. If left unspecified, the
 algorithm will choose a default target.</dd>

 <dt>crps</dt>
<dd>Calculate crps and inset it?</dd>

 <dt>subset</dt>
<dd>Restricts plotted values to a subset of the data.
 Default is to use the entire data.</dd>

 <dt>xlab</dt>
<dd>Horizontal axis label.</dd>

 <dt>ylab</dt>
<dd>Vertical axis label.</dd>

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

</dl>

plot.quantreg.rfsrc: Plot Quantiles from Quantile Regression Forests

Description

Usage

Arguments

Author

See Also