Statistical Methodology for Graphical Extreme Value Models
c(
person("Sebastian", "Engelke", email = "sebastian.engelke@unige.ch",
role = c("aut", "cre")),
person("Adrien S.", "Hitz", role = "aut"),
person("Nicola", "Gnecco", role = "aut"))
Sebastian Engelke [aut, cre],
Adrien S. Hitz [aut],
Nicola Gnecco [aut]
Statistical methodology for sparse multivariate extreme value models. Methods are
provided for exact simulation and statistical inference for multivariate Pareto distributions
on graphical structures as described in the paper 'Graphical Models for Extremes' by
Engelke and Hitz (2018) <arXiv:1812.01734>.

Graphical VAR for Experience Sampling Data
Estimates within and between time point interactions in experience sampling data, using the Graphical VAR model in combination with LASSO and EBIC.
Rcpp (>= 0.11.3), Matrix, glasso, glmnet, mvtnorm, qgraph (>=
1.3.1)

Rcpp (>= 0.11.3), Matrix, glasso, glmnet, mvtnorm, qgraph (>=
1.3.1), dplyr, methods

Rcpp (>= 0.11.3), Matrix, glasso, glmnet, mvtnorm, qgraph (>=
1.3.1), dplyr, methods, igraph

Estimates within and between time point interactions in experience sampling data, using the Graphical vector autoregression model in combination with regularization. See also Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.

c(
person("Sacha", "Epskamp", email = "mail@sachaepskamp.com",role = c("aut", "cre")),
person("Eren", "Asena", role = c("ctb"))
)
Rcpp (>= 0.11.3), Matrix, glasso, glmnet, mvtnorm, qgraph (>=
1.3.1), dplyr, methods, igraph, rlang
Sacha Epskamp [aut, cre],
Eren Asena [ctb]

The package provides functions to generate
graphics files, compare them with ``model'' files,
and report the results.

The package provides functions to generate graphics files,
compare them with ``model'' files, and report the results.

Functions to generate
graphics files, compare them with ``model'' files,
and report the results, including visual and textual
diffs of any differences.

Functions to generate
graphics files, compare them with "model" files,
and report the results, including visual and textual
diffs of any differences.