Description: Hierarchical inference testing (HIT) for (generalized) linear
models with correlated covariates applicable to high-dimensional settings.
Imports: stats, parallel, Matrix, Rcpp (>= 0.11.0), glmnet, speedglm

Imports: stats, parallel, Rcpp (>= 0.11.0), glmnet, speedglm

Description: Hierarchical inference testing (HIT) for (generalized) linear models with

Authors@R: person("Jonas", "Klasen", role = c("aut", "cre"), email = "qtcat@gmx.de")

Title: "Hit and Run" method for sampling uniformly from convex shapes.
Description: This package provides an implementation of the "Hit and Run" method for sampling uniformly from convex shapes. It further provides specialized implementation for sampling normalized weights with arbitrary linear constraints.

Title: "Hit and Run" method for sampling uniformly form convex shapes.
Description: This package provides an implementation of the "Hit and
Run" method for sampling uniformly from convex shapes. It
further provides specialized implementation for sampling
normalized weights with arbitrary linear constraints.

Author: Gert van Valkenhoef, Tommi Tervonen

Title: "Hit and Run" and "Shake and Bake" for Sampling Uniformly from
Description: The "Hit and Run" Markov Chain Monte Carlo method for sampling uniformly from convex shapes defined by linear constraints, and the "Shake and Bake" method for sampling from the boundary of such shapes. Includes specialized functions for sampling normalized weights with arbitrary linear constraints.

person("Gert", "van Valkenhoef", email="gert@gertvv.nl", role=c("aut", "cre", "cph")),
Description: The "Hit and Run" Markov Chain Monte Carlo method for sampling uniformly from convex shapes defined by linear constraints, and the "Shake and Bake" method for sampling from the boundary of such shapes. Includes specialized functions for sampling normalized weights with arbitrary linear constraints. Tervonen, T., van Valkenhoef, G., Basturk, N., and Postmus, D. (2012) <doi:10.1016/j.ejor.2012.08.026>. van Valkenhoef, G., Tervonen, T., and Postmus, D. (2014) <doi:10.1016/j.ejor.2014.06.036>.
Author: Gert van Valkenhoef [aut, cre, cph],