query.rf.pred.idx

The observation indexes (row numbers) constituting the terminal node
associated with each observation are queried using the <code>ranger</code> object
and the training data.
The parameter <code>keep.inbag = TRUE</code> should be applied to call to
<code>ranger</code>.

An R package for multiple imputation using chained random forests.
Implemented methods can handle missing data in mixed types of variables by
using prediction-based or node-based conditional distributions constructed
using random forests. For prediction-based imputation, the method based on
the empirical distribution of out-of-bag prediction errors of random forests
and the method based on normality assumption for prediction errors of random
forests are provided for imputing continuous variables. And the method based
on predicted probabilities is provided for imputing categorical variables.
For node-based imputation, the method based on the conditional distribution
formed by the predicting nodes of random forests, and the method based on
proximity measures of random forests are provided. More details of the
statistical methods can be found in Hong et al. (2020) <arXiv:2004.14823>.

Shangzhi Hong

RfEmpImp

Multiple Imputation using Chained Random Forests

Henry S. Lynn

query.rf.pred.idx function

<dl><dt>obj</dt>
<dd>An R object of class <code>ranger</code>.</dd>
<dt>data</dt>
<dd>Input for training data.</dd>
<dt>id.name</dt>
<dd>Use the IDs of the terminal nodes as names for the lists.</dd>
<dt>unique.by.id</dt>
<dd>Only return results of unique terminal node IDs.</dd>
<dt>...</dt>
<dd>Other parameters (will be ignored).</dd></dl>

Arguments

Author

Identify corresponding observations indexes under the terminal nodes for a
random forest model by ranger — query.rf.pred.idx

<dl>

<dt>obj</dt>
<dd>An R object of class <code>ranger</code>.</dd>


<dt>data</dt>
<dd>Input for training data.</dd>


<dt>id.name</dt>
<dd>Use the IDs of the terminal nodes as names for the lists.</dd>


<dt>unique.by.id</dt>
<dd>Only return results of unique terminal node IDs.</dd>


<dt>...</dt>
<dd>Other parameters (will be ignored).</dd>

</dl>

query.rf.pred.idx: Identify corresponding observations indexes under the terminal nodes for a random forest model by `ranger`

Description

Usage

Value

Arguments

Author

Details

Examples