timepoints.ranger.prediction

Extract unique death times of Ranger Survival prediction object.

A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide association
studies can be analyzed efficiently. In addition to data frames, datasets of
class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix')
can be directly analyzed.

Marvin Wright

ranger

A Fast Implementation of Random Forests

timepoints.ranger.prediction function

<dl><dt>x</dt>
<dd>Ranger Survival prediction object.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Author

Ranger timepoints — timepoints.ranger.prediction

<dl>

<dt>x</dt>
<dd>Ranger Survival prediction object.</dd>


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

</dl>

timepoints.ranger.prediction: Ranger timepoints

Description

Usage

Value

Arguments

Author

See Also