calculate_convergence

Calculates convergence based on NMSE. Details on the convergence criterion calculation are
provided in the package vignettes.

Missing data imputation based on the 'missForest' algorithm (Stekhoven, Daniel J (2012) <doi:10.1093/bioinformatics/btr597>)
with adaptations for prediction settings. The function missForest() is used
to impute a (training) dataset with missing values and to learn imputation
models that can be later used for imputing new observations.
The function missForestPredict() is used to impute one or multiple new
observations (test set) using the models learned on the training data.

Elena Albu

missForestPredict

Missing Value Imputation using Random Forest for Prediction
Settings

calculate_convergence function

<dl><dt>err</dt>
<dd>dataframe containing OOB or apparent errors for each iteration.</dd>
<dt>weights</dt>
<dd>vector of weights in the same format as for the <code>missForest</code> function.</dd></dl>

Arguments

Calculates convergence based on NMSE — calculate_convergence

<dl>

<dt>err</dt>
<dd>dataframe containing OOB or apparent errors for each iteration.</dd>


<dt>weights</dt>
<dd>vector of weights in the same format as for the <code>missForest</code> function.</dd>

</dl>

calculate_convergence: Calculates convergence based on NMSE

Description

Usage

Value

Arguments