CRAN/E | toweranNA

toweranNA

A Method for Handling Missing Values in Prediction Applications

Installation

About

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)).

github.com/matloff/toweranNA
Bug report File report

Key Metrics

Version 0.1.0
R ≥ 3.6.0
Published 2023-03-15 407 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Norm Matloff

nsmatloff@ucdavis.edu

Authors

Norm Matloff

aut / cre

Pete Mohanty

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.6.0
regtools ≥ 0.8.0
rmarkdown

Imports

FNN
pdist
stats