The gregmisc bundle is a repository for a variety of
useful functions.  See the individual packages for more
details.

Backword compatibility package for gregmisc bundle
Backword compatibility package for gregmisc bundle.  This package
simply loads the other packages within the gregmisc bundle, in
in order to simulate the old behavior when gregmisc was a single
package.
R (>= 1.9.0), gdata, gtools, gmodels, gplots

The former gregmisc bundle is a repository for a variety of
useful functions.  The gregmisc package was recently split into
a set of more focused packages: gdata, gmodels, gplots, gtools.
The purpose of this 'new' gregmisc is to provide an easy
way to access the original combined functionality.  To this
end, it simply depends on all of the new packages so that
these will installed/loaded when this package is installed/loaded.

The former gregmisc bundle is a repository for a variety
of useful functions.  The gregmisc package was recently split
into a set of more focused packages: gdata, gmodels, gplots,
gtools. The purpose of this 'new' gregmisc is to provide an
easy way to access the original combined functionality.  To
this end, it simply depends on all of the new packages so that
these will installed/loaded when this package is
installed/loaded.

Description: The former gregmisc bundle is a repository
for a variety of useful functions.  The gregmisc package has
been split into a set of more focused packages: gdata, gmodels,
gplots, gtools.  The purpose of this 'new' gregmisc is to
provide an easy way to access the original combined
functionality.  To this end, it simply depends on all of the
new packages so that these will installed/loaded when this
package is installed/loaded.

Estimation of Tail Dependence in Graphical Models
person(given = "Stefka", family = "Asenova", email = "stefkakirilova@yahoo.com", role = c("aut", "cre"))
Provides tools for estimation of edge weights on graphical models with respect to trees and block graphs and parameterized by a particular family of max-stable copulas. The edge weights are parameters of tail dependence between adjacent variables and these edge weights determine the joint tail dependence between all variables in the context of a particular parametric model. For methods of moment estimator, composite likelihood estimator please see Asenova et al. (2021) <doi:10.1007/s10687-021-00407-5>. For estimation based on extremal coefficients see Asenova et al. (2021) as well as Einmahl et al. (2016) <doi:10.2139/ssrn.2717531>. For cliquewise estimation please see Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.