Title: Testing Gene-Environment Interactions Through Genetic Risk
Authors@R: person("Michael", "Lau", email = "michael.lau@hhu.de",
Description: Statistical testing procedures for detecting
GxE (gene-environment) interactions. The main focus lies on
GRSxE interaction tests that aim at detecting GxE interactions
through GRS (genetic risk scores). Moreover, a novel testing
procedure based on bagging and OOB predictions is implemented
for incorporating all available observations at both GRS
Author: Michael Lau [aut, cre] (<https://orcid.org/0000-0002-5327-8351>)

Title: Tools for the analysis of Gutenberg-Richter distributions of
Author: Daniel Amorese, Paul A. Rydelek and Jean-Robert Grasso
Maintainer: Daniel C. Amorese <amorese@ipgp.fr>
Description: This package offers functions for the comparison of Gutenberg-Richter
b-values. Several functions in GRTo are helpful for the assessment of the

Title: Tools for the Analysis of Gutenberg-Richter Distributions of
Maintainer: Daniel C. Amorese  <amorese@ipgp.fr>
Imports: bootstrap, grDevices, graphics, stats, utils
Description: Offers functions for the comparison of Gutenberg-Richter

Title: Species distribution modelling using latent Gaussian random
Description: Functions to fit, visualise and compare Gaussian Random

Description: Functions to fit, visualise and compare Gaussian random

Description: Functions to fit, visualise and compare Gaussian random field species distribution models.

Packaged: Thu Apr 19 07:56:33 2007; tibs

Authors@R: c(person("Camila", "Garcia-Echeverri", email = "cagarciae@unal.edu.co", comment = c(ORCID = "0000-0001-8227-7684"),role = c("aut", "cre")),
person("Maria", "Arenas-Bautista", email = "mcarenasb@unal.edu.co", comment = c(ORCID = "0000-0003-1578-5157"), role = c("cot")),
person("Leonardo", "Donado", email = "lddonadog@unal.edu.co", comment=c(ORCID = "0000-0002-5479-3419" ), role = c("cot")))
Description: A tool to sensitivity analysis using SOBOL (Sobol, 1993) and AMA (Dell'Oca et al. 2017 <doi:10.5194/hess-21-6219-2017>) indices.
It allows to identify the most sensitive parameter or parameters of a model.
Author: Camila Garcia-Echeverri [aut, cre]