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r-toweranNA

Description

A Method for Handling Missing Values in Prediction Applications.

Description
cran.r-project.org
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)).
Metadata

Version

0.1.0

License

Unknown

Status

BrokenNo
InsecureNo
UnfreeNo
UnsupportedNo

Source

pkgs/development/r-modules/generic-builder.nix:56

Homepage

https://cran.r-project.org/web/packages/toweranNA/

Platforms (77)

    Darwin
    FreeBSD
    Genode
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    MMIXware
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    none
    OpenBSD
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