person("Jarod", "Smith", email = "jarodsmith706@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4235-6147"))
Implements a Bayesian adaptive graphical lasso data-augmented block Gibbs sampler. The sampler simulates the posterior distribution of precision matrices of a Gaussian Graphical Model. This sampler was adapted from the original MATLAB routine proposed in Wang (2012) <doi:10.1214/12-BA729>.

c(person("Jarod", "Smith", email = "jarodsmith706@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4235-6147")),
person("Mohammad", "Arashi", email = "arashi@um.ac.ir", role = "aut", comment = c(ORCID = "0000-0003-4793-5674")),
person("Andriette", "Bekker", email = "andriette.bekker@up.ac.za", role = "aut", comment = c(ORCID = "0000-0002-5881-9241")))

Tony Plate <tplate@attglobal.net> and Richard Heiberger
Combine multi-dimensional arrays.  This is a
generalization of cbind and rbind.  Takes a sequence of
vectors, matrices, or arrays and produces a single array of
the same or higher dimension.

Tony Plate <tplate@acm.org> and Richard Heiberger

Combine multi-dimensional arrays into a single array. This
is a generalization of cbind and rbind.  Works with vectors,
matrices, and higher-dimensional arrays.  Also provides
functions adrop, asub, and afill for manipulating, extracting
and replacing data in arrays.

Combine multi-dimensional arrays into a single array.
This is a generalization of cbind and rbind.  Works with
vectors, matrices, and higher-dimensional arrays.  Also
provides functions adrop, asub, and afill for manipulating,
extracting and replacing data in arrays.

Combine multidimensional arrays into a single array.
This is a generalization of 'cbind' and 'rbind'.  Works with
vectors, matrices, and higher-dimensional arrays.  Also
provides functions 'adrop', 'asub', and 'afill' for manipulating,
extracting and replacing data in arrays.

Databases Used Routinely by the Brazilian Jurimetrics
Association
c(person(given = "Julio",
family = "Trecenti",
role = c("aut","cre"),
email = "julio.trecenti@gmail.com",
comment = c(ORCID = "0000-0002-1680-6389")),
person(given = "Renata",
family = "Hirota",
role = "ctb",
email = "rhirota@abj.org.br"),
person(given = "Katerine",
family = "Witkoski",
role = "aut",
email = "kwitkoski@abj.org.br",
comment = c(ORCID = "0000-0002-3691-6569")),
person(given = "Associação Brasileira de Jurimetria",
role = c("cph", "fnd")))
The Brazilian Jurimetrics Association (ABJ in
Portuguese, see <https://abj.org.br/> for more information) is
a non-profit organization which aims to investigate and promote the
use of statistics and probability in the study of Law and its
institutions. This package has a set of datasets commonly used in
our book.
Julio Trecenti [aut, cre] (<https://orcid.org/0000-0002-1680-6389>),
Renata Hirota [ctb],
Katerine Witkoski [aut] (<https://orcid.org/0000-0002-3691-6569>),
Associação Brasileira de Jurimetria [cph, fnd]