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Functions and example datasets for Fechnerian scaling of discrete object sets. User can compute Fechnerian distances among objects representing subjective dissimilarities, and other related information. See package?fechner for an overview.
| Version: | 1.0-3 |
| Depends: | R (≥ 3.3.0) |
| Imports: | graphics, stats |
| Published: | 2016-06-06 |
| Author: | Ali Uenlue [aut, cre], Thomas Kiefer [aut, trl] (Based on original MATLAB source by Ehtibar N. Dzhafarov.) |
| Maintainer: | Ali Uenlue <ali.uenlue at tum.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | see file COPYRIGHTS |
| URL: | http://www.meb.edu.tum.de |
| NeedsCompilation: | yes |
| Citation: | fechner citation info |
| Materials: | NEWS |
| In views: | Psychometrics |
| CRAN checks: | fechner results |
| Reference manual: | fechner.pdf |
| Package source: | fechner_1.0-3.tar.gz |
| Windows binaries: | r-devel: fechner_1.0-3.zip, r-release: fechner_1.0-3.zip, r-oldrel: fechner_1.0-3.zip |
| macOS binaries: | r-release (arm64): fechner_1.0-3.tgz, r-oldrel (arm64): fechner_1.0-3.tgz, r-release (x86_64): fechner_1.0-3.tgz, r-oldrel (x86_64): fechner_1.0-3.tgz |
| Old sources: | fechner archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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