toweranNA

A Method for Handling Missing Values in Prediction Applications

CRAN Package

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)).

Documentation

Team

Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN

Binaries

Dependencies

  • Depends2 packages
  • Imports2 packages
  • Reverse Imports1 package