Type: Package
Package: elisr
Title: Exploratory Likert Scaling
Version: 0.1.1
Authors@R: 
    c(person(given = "Steven",
             family = "Bißantz",
             role = c("aut", "cre"),
             email = "steven.bissantz@gmail.com"),
      person(given = "Thomas",
             family = "Müller-Schneider",
             role = "ctb",
             email = "tms@uni-landau.de"))
Description: An alternative to Exploratory Factor Analysis (EFA) for
        metrical data in R. Drawing on characteristics of classical
        test theory, Exploratory Likert Scaling (ELiS) supports the
        user exploring multiple one-dimensional data structures. In
        common research practice, however, EFA remains the go-to method
        to uncover the (underlying) structure of a data set. Orthogonal
        dimensions and the potential of overextraction are often
        accepted as side effects. As described in Müller-Schneider
        (2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts these
        problems. As a result, 'elisr' provides the platform to fully
        exploit the exploratory potential of the multiple scaling
        approach itself.
License: GPL (>= 3)
URL: https://github.com/sbissantz/elisr
BugReports: https://github.com/sbissantz/elisr/issues
Depends: R (>= 4.0.0)
Imports: stats (>= 4.0.0)
Suggests: covr, devtools, knitr, pkgdown, psych, rmarkdown, testthat
        (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en, de
LazyData: true
RoxygenNote: 7.1.1
Repository: https://sbissantz.r-universe.dev
Date/Publication: 2021-05-13 11:10:57 UTC
RemoteUrl: https://github.com/sbissantz/elisr
RemoteRef: HEAD
RemoteSha: 3faf47bf43fb2f0f791bc16327dd3dfb61791fe1
NeedsCompilation: no
Packaged: 2026-10-20 10:45:08 UTC; root
Author: Steven Bißantz [aut, cre],
  Thomas Müller-Schneider [ctb]
Maintainer: Steven Bißantz <steven.bissantz@gmail.com>