Package: latent2likert 1.2.1

Marko Lalovic

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_1.2.1.tar.gz
latent2likert_1.2.1.tar.gz(r-4.5-noble)latent2likert_1.2.1.tar.gz(r-4.4-noble)
latent2likert_1.2.1.tgz(r-4.4-emscripten)latent2likert_1.2.1.tgz(r-4.3-emscripten)
latent2likert.pdf |latent2likert.html
latent2likert/json (API)
NEWS

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

Peer review:

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

Datasets:
  • part_bfi - Agreeableness and Gender Data

6 exports 2.70 score 11 dependencies 6 scripts 352 downloads

Last updated 3 months agofrom:928f7cd943. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 23 2024
R-4.5-linuxOKSep 23 2024

Exports:discretize_densityestimate_paramsplot_likert_transformresponse_proprlikertsimulate_likert

Dependencies:latticeMASSMatrixMatrixModelsmnormtmvtnormnumDerivquantregsnSparseMsurvival

Using latent2likert

Rendered fromusing_latent2likert.Rmdusingknitr::rmarkdownon Sep 23 2024.

Last update: 2024-06-25
Started: 2024-06-25