CRAN/E | optiscale

optiscale

Optimal Scaling

Installation

About

Optimal scaling of a data vector, relative to a set of targets, is obtained through a least-squares transformation subject to appropriate measurement constraints. The targets are usually predicted values from a statistical model. If the data are nominal level, then the transformation must be identity-preserving. If the data are ordinal level, then the transformation must be monotonic. If the data are discrete, then tied data values must remain tied in the optimal transformation. If the data are continuous, then tied data values can be untied in the optimal transformation.

Key Metrics

Version 1.2.2
Published 2021-02-03 1344 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

William G. Jacoby

Authors

William G. Jacoby

Material

Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

optiscale archive

Depends

lattice

Reverse Imports

DAMisc