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
NeedsCompilation: no
Packaged: 2021-05-13 11:56:16 UTC; steven
Author: Steven Bißantz [aut, cre],
  Thomas Müller-Schneider [ctb]
Maintainer: Steven Bißantz <steven.bissantz@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-15 22:00:02 UTC
Built: R 4.3.3; ; 2025-01-24 07:05:04 UTC; unix
