R-universe - jamesuanhoro (James Uanhoro)

rccme - Regression Calibration for Classical Measurement Error

Contains functions to get calibrated latent trait estimates under assumption of classical measurement error.

Last updated

measurement-errorregression-calibrationquarto

3.30 score 5 scripts

ugcflss - Unadjusted Group Comparisons For Likert Sum Scores

Performs unadjusted group comparisons for data that are sum scores 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.

Last updated

cpp

2.70 score 2 scripts

ssrhom - Hierarchical ordinal models for analyzing single subject designs

Hierarchical ordinal models for analyzing single subject designs using Bayesian models fit with Stan.

Last updated

bayesian-statisticshierarchical-modelsmcmcsingle-case-designstancpp

1.70 score 3 scripts