Description: Graph estimation in Gaussian Graphical Models. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.

X-CRAN-Comment: Orphaned on 2018-02-01 as installation issues were not

Attempted to use SAFE_FFLAGS as part of PKG_LIBS.

Description: Graph estimation in Gaussian Graphical Models, following the method
developed by C. Giraud, S. Huet and N. Verzelen (2012) <doi:10.1515/1544-6115.1625>.
The main functions return the adjacency matrix of an undirected graph

Description: GGMselect is a package dedicated to graph estimation in Gaussian Graphical Models. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.

Author: Saeed Aldahmani and Taoufik Zoubeidi
Description: The Graphical Group Ridge 'GGRidge' package package classifies ridge regression predictors in disjoint groups of conditionally correlated variables and derives different penalties (shrinkage parameters) for these groups of predictors. It combines the ridge regression method with the graphical model for high-dimensional data (i.e. the number of predictors exceeds the number of cases) or ill-conditioned data (e.g. in the presence of multicollinearity among predictors). The package reduces the mean square errors and the extent of over-shrinking of predictors as compared to the ridge method.
Packaged: 2021-02-27 16:59:09 UTC; saldahmani

Title: Generalized Graded Unfolding Model
person("Jorge N.", "Tendeiro", email = "j.n.tendeiro@rug.nl", role = c("aut","cre")),
person("Sebastian", "Castro-Alvarez", email = "secastroal@gmail.com", role = "aut"))
Description: An implementation of the generalized graded unfolding model (GGUM) in R, see Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>). It allows to simulate data sets based on the GGUM. It fits the GGUM and the GUM, and it retrieves item and person parameter estimates. Several plotting functions are available (item and test information functions; item and test characteristic curves; item category response curves). Additionally, there are some functions that facilitate the communication between R and 'GGUM2004'. Finally, a model-fit checking utility, MODFIT(), is also available.
Imports: stats, utils, psych, abind, viridis, Rdpack, xlsx
Maintainer: Jorge N. Tendeiro <j.n.tendeiro@rug.nl>