Package: latent2likert 1.2.2

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.

Authors:Marko Lalovic [aut, cre]

latent2likert_1.2.2.tar.gz
latent2likert_1.2.2.zip(r-4.5)latent2likert_1.2.2.zip(r-4.4)latent2likert_1.2.2.zip(r-4.3)
latent2likert_1.2.2.tgz(r-4.5-any)latent2likert_1.2.2.tgz(r-4.4-any)latent2likert_1.2.2.tgz(r-4.3-any)
latent2likert_1.2.2.tar.gz(r-4.5-noble)latent2likert_1.2.2.tar.gz(r-4.4-noble)
latent2likert_1.2.2.tgz(r-4.4-emscripten)latent2likert_1.2.2.tgz(r-4.3-emscripten)
latent2likert.pdf |latent2likert.html
latent2likert/json (API)
NEWS

# Install 'latent2likert' in R:
install.packages('latent2likert', repos = c('https://markolalovic.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/markolalovic/latent2likert/issues

Pkgdown site:https://latent2likert.lalovic.io

Datasets:
  • part_bfi - Agreeableness and Gender Data

On CRAN:

Conda:

likertlikert-datasimulationsurvey-data

5.91 score 18 stars 5 scripts 475 downloads 7 exports 1 dependencies

Last updated 6 months agofrom:90c53cff3f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winOKMar 08 2025
R-4.5-macOKMar 08 2025
R-4.5-linuxOKMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:discretize_densityestimate_mean_and_sdestimate_paramsplot_likert_transformresponse_proprlikertsimulate_likert

Dependencies:mvtnorm

Using latent2likert

Rendered fromusing_latent2likert.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2024-07-26
Started: 2024-06-19