toweranNA (version 0.1.0)
A Method for Handling Missing Values in Prediction Applications
Description
Non-imputational method for handling missing values in
a prediction context, meaning that not only are there missing
values in the training dataset, but also some values may be missing
in future cases to be predicted. Based on the notion of regression
averaging (Matloff (2017, ISBN: 9781498710916)).