optiscale: Optimal Scaling

Optimal scaling of a data vector is obtained through a least-squares transformation subject to appropriate measurement constraints. Further information about this methodology is provided by Young (1981)<doi:10.1007/BF02293796> and Jacoby (1999)< doi:10.2307/2991794>.

Version: 1.2
Depends: lattice
Published: 2020-02-28
Author: William G. Jacoby
Maintainer: William G. Jacoby <wm.g.jacoby at gmail.com>
License: GPL-2
NeedsCompilation: no
In views: Psychometrics
CRAN checks: optiscale results

Downloads:

Reference manual: optiscale.pdf
Package source: optiscale_1.2.tar.gz
Windows binaries: r-prerelease: optiscale_1.2.zip, r-release: optiscale_1.2.zip, r-oldrel: optiscale_1.2.zip
macOS binaries: r-prerelease: optiscale_1.2.tgz, r-release: optiscale_1.2.tgz, r-oldrel: optiscale_1.2.tgz
Old sources: optiscale archive

Reverse dependencies:

Reverse imports: DAMisc

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