ugcflss

ugcflss performs unadjusted group comparisons for data that are sum scores of of several Likert items, and produces plots that help describe patterns in the data. Models rely on Bayesian regularization and hierarchical ordinal regression. Regularization and hierarchical modeling help with stabilizing model parameters and inference about quantities of interest. Ordinal regression helps with describing the distribution of the data accurately.

Installation

You can install ugcflss from R-universe with:

install.packages(
  "ugcflss",
  repos = c("https://jamesuanhoro.r-universe.dev", "https://cloud.r-project.org")
)

Demonstration

Once installed, run vignette("ugcflss_tutorial") for the demonstration.