Description: Estimates mixture Rasch models, including the dichotomous
Rash model, the rating scale model, and the partial credit
Packaged: Wed Mar 18 14:32:53 2009; jtwillse

Description: Estimates Rasch models and mixture Rasch models, including the dichotomous Rash model, the rating scale model, and the partial credit model.

Description: Estimates Rasch models and mixture Rasch models, including the dichotomous Rasch model, the rating scale model, and the partial credit model.

Title: Plotting and Average Theta Functions for Multiple Class Mixed
Authors@R: c(person("Pamela", "Trantham", role = c("aut", "cre"),
Description: Provides supplemental functions for the 'mixRasch'
package (Willse, 2014), <https://cran.r-project.org/package=mixRasch/mixRasch.pdf> including a
plotting function to compare item parameters for multiple
class models and a function that provides average theta values for each class in
Suggests: knitr, rmarkdown, mixRasch, testthat

Title: Mixtures of Power Exponential and Skew Power Exponential
Distributions for Use in Model-Based Clustering and
Author: Utkarsh J. Dang[aut, cre], Michael P. B. Gallaugher[ctb], Ryan P. Browne[aut, cre], and Paul D. McNicholas[aut]
Description: Mixtures of skewed and elliptical distributions are implemented using mixtures of multivariate skew
power exponential and power exponential distributions, respectively. A generalized expectation-maximization
framework is used for parameter estimation. Methodology for mixtures of power exponential distributions is

Author: Ryan P. Browne[aut, cre], Utkarsh J. Dang[aut, cre], Michael P. B. Gallaugher[ctb], and Paul D. McNicholas[aut]

Title: Clustering Using Mixtures of Sub Gaussian Stable Distributions
Description: Developed for model-based clustering using the finite mixtures of skewed sub-Gaussian
stable distributions developed by Teimouri (2022) <arXiv:2205.14067>.
Packaged: 2022-08-19 22:18:15 UTC; NikPardaz

stable distributions developed by Teimouri (2022) <arXiv:2205.14067> and estimating
parameters of the symmetric stable distribution within the Bayesian framework.
Packaged: 2022-09-11 12:14:22 UTC; NikPardaz