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optiscale
View on CRAN: Click
here
Download and install optiscale package within the R console
Install from CRAN:
install.packages("optiscale")
Install from Github:
library("remotes")
install_github("cran/optiscale") Install by package version:
library("remotes")
install_version("optiscale", "1.2.3") Attach the package and use:
library("optiscale")
Maintained by
Dave Armstrong
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-01
Latest Update: 2024-05-16
Description:
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.
How to cite:
Dave Armstrong (2014). optiscale: Optimal Scaling. R package version 1.2.3, https://cran.r-project.org/web/packages/optiscale. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Other R packages that optiscale depends,
imports, suggests or enhances
Complete documentation for optiscale
Functions, R codes and Examples using
the optiscale R package
Some associated functions: elec92 . methods . opscale . optiscale-package . os.plot . shepard . stress .
Some associated R codes: opscalev16.R . Full optiscale package functions and examples
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