Type: Package
Package: LikertMakeR
Title: Synthesise and Correlate Likert Scale and Rating-Scale Data
        Based on Summary Statistics
Version: 2.0.0
Date: 2026-03-15
Authors@R: 
    person("Hume", "Winzar", , "winzar@gmail.com", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0001-7475-2641"))
Description: Generate and correlate synthetic Likert and rating-scale
    questionnaire responses with predefined means, standard deviations, 
    Cronbach's Alpha, Factor Loading table, coefficients, and other summary 
    statistics. 
    It can be used to simulate Likert data, construct multi-item scales, 
    generate correlation matrices, and create example survey datasets for 
    teaching statistics, psychometrics, and methodological research.
    Worked examples and documentation are available in the package 
    articles, accessible via the package website,
    <https://winzarh.github.io/LikertMakeR/>. 
License: MIT + file LICENSE
URL: https://github.com/WinzarH/LikertMakeR/,
        https://winzarh.github.io/LikertMakeR/
BugReports: https://github.com/WinzarH/LikertMakeR/issues
Depends: R (>= 4.2.0)
Imports: dplyr, Matrix, matrixStats, Rcpp, stats, tibble, rlang
Suggests: effectsize, kableExtra, knitr, ggplot2, ggrepel, gtools,
        psych, polycor, psychTools, rmarkdown, testthat (>= 3.0.0),
        tidyr
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Config/Needs/website: dplyr, effectsize, ggplot2, kableExtra, lavaan,
        matrixcalc, matrixStats, pkgdown, psych, quarto, rmarkdown,
        semPlot, semptools, stringr, tibble, tidyr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-03-22 00:00:19 UTC; winza
Author: Hume Winzar [cre, aut] (ORCID: <https://orcid.org/0000-0001-7475-2641>)
Maintainer: Hume Winzar <winzar@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-23 08:40:35 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-04-23 21:03:05 UTC; windows
Archs: x64
