High-Performance Open-Source Archive
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 |
| Reference manual: | latent2likert.html , latent2likert.pdf |
| Vignettes: |
Using latent2likert (source, R code) |
| 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 |
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