toweranNA
A Method for Handling Missing Values in Prediction Applications
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)).
- Version0.1.0
- R version≥ 3.6.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/15/2023
Documentation
Team
Norm Matloff
Pete Mohanty
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- Depends3 packages
- Imports3 packages
- Reverse Imports1 package