r-toweranNA

Description

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)).

Metadata

Version

0.1.0

License

Unknown

Platforms (75)

Darwin

FreeBSD

Genode

GHCJS

Linux

MMIXware

NetBSD

none

OpenBSD

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aarch64-darwin
aarch64-genode
aarch64-linux
aarch64-netbsd
aarch64-none
aarch64_be-none
arm-none
armv5tel-linux
armv6l-linux
armv6l-netbsd
armv6l-none
armv7a-darwin
armv7a-linux
armv7a-netbsd
armv7l-linux
armv7l-netbsd
avr-none
i686-cygwin
i686-darwin
i686-freebsd
i686-genode
i686-linux
i686-netbsd
i686-none
i686-openbsd
i686-windows
javascript-ghcjs
loongarch64-linux
m68k-linux
m68k-netbsd
m68k-none
microblaze-linux
microblaze-none
microblazeel-linux
microblazeel-none
mips-linux
mips-none
mips64-linux
mips64-none
mips64el-linux
mipsel-linux
mipsel-netbsd
mmix-mmixware
msp430-none
or1k-none
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powerpc64le-linux
powerpcle-none
riscv32-linux
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x86_64-none
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Source

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Platforms75 (75)

Platforms (75)