bootstrapped filtered hierarchical clustering. Now with boosting. See Ch. Bongiorno and D. Challet,

bootstrapped filtered hierarchical clustering and boosting. See Ch. Bongiorno and D. Challet,
Covariance matrix filtering with bootstrapped hierarchies (2020) <arXiv:2003.05807> and
Ch. Bongiorno and D. Challet, Reactive Global Minimum Variance Portfolios with k-BAHC covariance cleaning

Title: Bayes Factors for Informative Hypotheses
person(c("Xin"), "Gu", role = c("aut"), email = "guxin57@hotmail.com"),
person(c("Herbert"), "Hoijtink", role = c("aut"), email = "h.hoijtink@uu.nl"),
person(c("Joris"), "Mulder", role = c("aut"), email = "jomulder@gmail.com"),
person(c("Caspar", "J"), "van Lissa", role = c("aut", "cre"), email = "c.j.vanlissa@uu.nl"),
person(c("Jeff"), "Jones", role = "ctb"),
person(c("Niels"), "Waller", role = "ctb"),
Description: Computes approximated adjusted fractional Bayes factors for
equality, inequality, and about equality constrained hypotheses. S3 methods
are available for specific types of lm() models, namely ANOVA, ANCOVA, and
multiple regression, and for the t_test(). The statistical underpinnings are
Hoijtink, Mulder, van Lissa, and Gu, (2018) <doi:10.31234/osf.io/v3shc>,
Hoijtink, Gu, and Mulder, (2018) <doi:10.1111/bmsp.12145>, and
Hoijtink, Gu, Mulder, and Rosseel, (2018) <doi:10.1037/met0000187>.
Maintainer: Caspar J van Lissa <c.j.vanlissa@uu.nl>

person(c("Van Zundert"), "Camiel", role = "ctb"),
person(c("Niels"), "Waller", role = "ctb")

equality, inequality, and about equality constrained hypotheses.
For a tutorial on this method, see Hoijtink, Mulder, van Lissa, & Gu,
(2019) <doi:10.31234/osf.io/v3shc>. For applications in structural equation
modeling, see: Van Lissa, Gu, Mulder, Rosseel, Van Zundert, &
underpinnings, see Gu, Mulder, and Hoijtink (2018) <doi:10.1111/bmsp.12110>;
Hoijtink, Gu, & Mulder, J. (2019) <doi:10.1111/bmsp.12145>; Hoijtink, Gu,

Title: Bayesian Analysis of Item Response Theory Models
Authors@R: c(person("Javier", "Martinez", email = "martinezjavier243@gmail.com", role = c("aut", "cre")), person("Irene", "Garcia Mosquera", email = "", role = c("ctb")))
Description: Bayesian estimation of the two and three parameter models of item response theory (IRT). Also, it is possible to use a web interactive application intended for the making of an MCMC estimation and model-fit of the IRT models.
Imports: coda, mvtnorm, stats, graphics, shiny, shinyjs