Title: Infrastructure for Psychometric Modeling
person(given = "Carolin", family = "Strobl", role = "aut",
email = "Carolin.Strobl@psychologie.uzh.ch"), person(given =
"Florian", family = "Wickelmaier", role = "aut", email =
Author: Achim Zeileis [aut, cre], Carolin Strobl [aut], Florian
Description: Infrastructure for psychometric modeling such as data
classes (e.g., for paired comparisons) and basic model fitting
functions (e.g., for Rasch and Bradley-Terry models). Intended
especially as a common building block for fitting psychometric
mixture models in package "psychomix" and psychometric tree

person(given = "Florian", family = "Wickelmaier", role = "aut", email = "Florian.Wickelmaier@uni-tuebingen.de"),
person(given = "Basil", family = "Abou El-Komboz", role = "aut", email = "Basil.Abou-El-Komboz@stat.uni-muenchen.de"))
Description: 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, and rating
scale models), and various datasets for illustration. Intended especially as a common building block for
fitting psychometric mixture models in package "psychomix" and psychometric tree models in package "psychotree".

person(given = "Basil", family = "Abou El-Komboz", role = "aut"),
person(given = "Julia", family = "Kopf", role = "aut"))
scale 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 psychometric tree models in package "psychotree".

Description: 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 psychometric tree models in package "psychotree".