Functions to facilitate inference on the relative importance of predictors in a linear or generalized linear model, and a couple of useful Tcl/Tk widgets

David Firth with contributions from Heather Turner
Functions to facilitate inference on the relative importance of predictors in a linear or generalized linear model, and a couple of useful Tcl/Tk widgets.

Functions to facilitate inference on the relative
importance of predictors in a linear or generalized linear
model, and a couple of useful Tcl/Tk widgets.

David Firth with contributions from Heather Turner and John Fox

The Truncated Elliptical Family of Distributions
c(person(given = "Katherine A.",
family = "L. Valeriano",
role = c("aut", "cre"),
email = "katandreina@gmail.com",
comment = c(ORCID = "0000-0001-6388-4753")),
person(given = "Larissa",
family = "Avila Matos",
role = "ctb",
email = "larissam@unicamp.br",
comment = c(ORCID = "0000-0002-2635-0901")),
person(given = "Christian",
family = "Galarza Morales",
role = "ctb",
email = "cgalarza88@gmail.com",
comment = c(ORCID = "0000-0002-4818-6006")))
It generates random numbers from a truncated multivariate elliptical distribution such as Normal, Student-t, Pearson VII, Slash, Logistic, and others by specifying the density generating function. It also computes first and second moment for some particular distributions.
FuzzyNumbers.Ext.2, matrixcalc, Rcpp, RcppNumerical, Rdpack,
Ryacas0, stats
ggExtra, ggplot2, gridExtra, MomTrunc, TTmoment, tmvtnorm
Katherine A. L. Valeriano [aut, cre]
(<https://orcid.org/0000-0001-6388-4753>),
Larissa Avila Matos [ctb] (<https://orcid.org/0000-0002-2635-0901>),
Christian Galarza Morales [ctb]
(<https://orcid.org/0000-0002-4818-6006>)

It offers random numbers generation from members of the truncated multivariate elliptical family of distribution such as the truncated versions of the Normal, Student-t, Pearson VII, Slash, Logistic, among others. Particular distributions can be provided by specifying the density generating function. It also computes the first two moments (covariance matrix as well) for some particular distributions.