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latent2likert: Converting Latent Variables into Likert Scale Responses

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 <marko at lalovic.io>
BugReports: https://github.com/markolalovic/latent2likert/issues/
License: MIT + file LICENSE
URL: https://lalovic.io/latent2likert/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: latent2likert results

Documentation:

Reference manual: latent2likert.pdf
Vignettes: Using latent2likert

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: not available
macOS binaries: r-release (arm64): not available, 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:

Please use the canonical form https://CRAN.R-project.org/package=latent2likert to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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