Author: Original S-PLUS code by Peter J. Rousseeuw and Andreas Christmann,
Description: Package implementing the methods described in
Rousseeuw and Christman (2003) to cope with separation issues
Packaged: Tue Sep  2 20:08:55 2008; tobias

Title: Higher-Order Item Response Theory
Authors@R: person("Michael", "Kleinsasser", role=c("aut","cre"), email="mjkleinsa@gmail.com")
Description: Higher-order latent trait theory (item response theory). We
implement the generalized partial credit model with a second-order latent
trait structure. Latent regression can be done on the second-order latent
see, "Latent Regression in Higher-Order Item Response Theory with the R
Imports: Rcpp (>= 1.0.8), RcppDist, RcppProgress, tidyr, ggplot2,

Title: Hidden Markov Cognitive Diagnosis Models for Learning
person("Susu", "Zhang", email = "szhan105@illinois.edu", role = c("aut")),
person("Shiyu", "Wang", email = "swang44@uga.edu", role = c("aut")),
person("Yinghan", "Chen", email = "yinghanc@unr.edu ", role = c("aut")),
person("Sunbeom", "Kwon", email = "sunbeom2@illinois.edu", role = c("aut", "cre"))
Description: Fitting hidden Markov models of learning under the cognitive diagnosis framework.
The estimation of the hidden Markov diagnostic classification model,
the first order hidden Markov model, the reduced-reparameterized unified learning model,
and the joint learning model for responses and response times.
Packaged: 2022-08-27 15:21:42 UTC; sunbeomkwon

Title: Fit Statistical Models Using Hamiltonian Monte Carlo
person("Samuel", "Thomas", email = "samthoma@iu.edu", role = c("cre", "aut")),
person("Wanzhu", "Tu", email = "wtu1@iu.edu", role = "ctb"))
Description: Provide users with a framework to learn the intricacies of the Hamiltonian Monte Carlo algorithm with hands-on experience by tuning and fitting their own models.  All of the code is written in R.  Theoretical references are listed below:.
Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418,
Betancourt, Michael (2017) "A Conceptual Introduction to Hamiltonian Monte Carlo" <arXiv:1701.02434>,
Suggests: knitr, rmarkdown, Matrix, lme4, carData, mlbench, ggplot2,
Imports: bayesplot, parallel, MASS, mvtnorm
Packaged: 2020-06-19 13:46:11 UTC; samuelthomas