Bayesian Multidimensional Generalized Graded Unfolding Model
c(person(given = "Naidan",
family = "Tu",
role = c("aut", "cre"),
email = "naidantu@usf.edu"),
person(given = "Bo",
family = "Zhang",
role = c("aut"),
email = "bozhang3065@gmail.com"))
Full Bayesian estimation of Multidimensional Generalized Graded Unfolding Model (MGGUM) using 'rstan' (See Stan Development Team (2020) <https://mc-stan.org/>).
Functions are provided for estimation, result extraction, model fit statistics, and plottings.
methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
2.18.1), rstantools (>= 2.1.1), edstan, ggplot2, GGUM, loo,
stats

Bayesian Estimation for Finite Mixture of Distributions
Provides statistical tools for Bayesian estimation for finite mixture of distributions, mainly mixture of Gamma, Normal and t-distributions.

Provides statistical tools for Bayesian estimation for finite mixture of distributions, mainly mixture of Gamma, Normal and t-distributions. The package is implemented the recent improvements in Bayesian literature for the finite mixture of distributions, including Mohammadi and et al. (2013) <doi:10.1007/s00180-012-0323-3> and Mohammadi and Salehi-Rad (2012) <doi:10.1080/03610918.2011.588358>.

Provides statistical tools for Bayesian estimation for finite mixture of distributions, mainly mixture of Gamma, Normal and t-distributions. The package is implemented the recent improvements in Bayesian literature for the finite mixture of distributions, including Mohammadi and et al. (2013) <https://doi:10.1007/s00180-012-0323-3> and Mohammadi and Salehi-Rad (2012) <https://doi:10.1080/03610918.2011.588358>.

c(person(given = "Reza",
family = "Mohammadi",
role = c("aut", "cre", "cph"),
email = "a.mohammadi@uva.nl",
comment = c(ORCID = "0000-0001-9538-0648"))
)
Provides statistical tools for Bayesian estimation of finite mixture of distributions, mainly mixture of Gamma, Normal and t-distributions. The package is implemented the Bayesian literature for the finite mixture of distributions, including Mohammadi and et al. (2013) <doi:10.1007/s00180-012-0323-3> and Mohammadi and Salehi-Rad (2012) <doi:10.1080/03610918.2011.588358>.
Reza Mohammadi [aut, cre, cph]
(<https://orcid.org/0000-0001-9538-0648>)