Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".
copied from cf-staging / r-psychotools
conda install conda-forge::r-psychotoolsconda install conda-forge/label/cf201901::r-psychotoolsconda install conda-forge/label/cf202003::r-psychotoolsconda install conda-forge/label/gcc7::r-psychotools