Package: fechner 1.0-4

fechner: Fechnerian Scaling of Discrete Object Sets

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.

Authors:Ali Uenlue [aut, cre], Thomas Kiefer [aut, trl]

fechner_1.0-4.tar.gz
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fechner_1.0-4.tgz(r-4.6-x86_64)fechner_1.0-4.tgz(r-4.6-arm64)
fechner_1.0-4.tar.gz(r-4.7-arm64)fechner_1.0-4.tar.gz(r-4.7-x86_64)fechner_1.0-4.tar.gz(r-4.6-arm64)fechner_1.0-4.tar.gz(r-4.6-x86_64)
fechner_1.0-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fechner/json (API)

# Install 'fechner' in R:
install.packages('fechner', repos = c('https://uenlue.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • morse - Rothkopf's Morse Code Data
  • noRegMin - Artificial Data: Regular Minimality Violated
  • regMin - Artificial Data: Regular Minimality In Non-canonical Form
  • wish - Wish's Morse-code-like Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 274 downloads 3 exports 0 dependencies

Last updated from:f05a8dd2d6. Checks:12 OK, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK72
linux-devel-x86_64OK97
source / vignettesOK184
linux-release-arm64OK71
linux-release-x86_64OK85
macos-release-arm64OK110
macos-release-x86_64OK202
macos-oldrel-arm64FAIL101
macos-oldrel-x86_64FAIL164
windows-devel-arm64OK327
windows-devel-x86_64OK94
windows-release-arm64OK318
windows-release-x86_64OK70
windows-oldrel-x86_64FAIL41
wasm-releaseOK72

Exports:check.datacheck.regularfechner

Dependencies: