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
fechner_1.0-4.zip(r-4.7)fechner_1.0-4.zip(r-4.6)
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✨
card.svg |card.png
fechner/json (API)
NEWS

# 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 36 downloads 3 exports 0 dependencies

Last updated from:f05a8dd2d6. Checks:10 OK, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK116
linux-devel-x86_64OK99
source / vignettesOK144
linux-release-arm64OK103
linux-release-x86_64OK90
macos-release-arm64OK66
macos-release-x86_64OK291
macos-oldrel-arm64FAIL112
macos-oldrel-x86_64FAIL224
windows-develOK70
windows-releaseOK63
windows-oldrelFAIL46
wasm-releaseOK84

Exports:check.datacheck.regularfechner

Dependencies: