latent2likert: Converting Latent Variables into Likert Scale Responses (original) (raw)

Effectively simulates the discretization process inherent to Likert scales while minimizing distortion. It converts continuous latent variables into ordinal categories to generate Likert scale item responses. Particularly useful for accurately modeling and analyzing survey data that use Likert scales, especially when applying statistical techniques that require metric data.

Version: 1.2.1
Depends: R (≥ 3.5)
Imports: graphics, mvtnorm, sn, stats, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-06-24
DOI: 10.32614/CRAN.package.latent2likert
Author: Marko Lalovic [aut, cre]
Maintainer: Marko Lalovic
BugReports: https://github.com/markolalovic/latent2likert/issues/
License: MIT + file
URL: https://lalovic.io/latent2likert/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: latent2likert results

Documentation:

Reference manual: latent2likert.html , <latent2likert.pdf>
Vignettes: Using latent2likert (source, R code)

Downloads:

Package source: latent2likert_1.2.1.tar.gz
Windows binaries: r-devel: latent2likert_1.2.1.zip, r-release: latent2likert_1.2.1.zip, r-oldrel: latent2likert_1.2.1.zip
macOS binaries: r-release (arm64): latent2likert_1.2.1.tgz, r-oldrel (arm64): latent2likert_1.2.1.tgz, r-release (x86_64): latent2likert_1.2.1.tgz, r-oldrel (x86_64): latent2likert_1.2.1.tgz

Linking:

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