Title: Bayesian Calibrations of p-Values
email = "manuela.c.ott@gmail.com", comment = c(ORCID = "0000-0002-8050-7279")),
person("Leonhard", "Held", role = "aut", comment = c(ORCID = "0000-0002-8686-5325")))
Description: Implements transformations of p-values to the smallest possible Bayes factor within the specified class of alternative hypotheses, as described in Held & Ott (2018, <doi:10.1146/annurev-statistics-031017-100307>). Covers several common testing scenarios such as z-tests, t-tests, likelihood ratio tests and the F-test.
Author: Manuela Ott [aut, cre] (<https://orcid.org/0000-0002-8050-7279>),

Description: In analysis of high-dimensional DNA methylation data, a penalized exponential tilt model can identify differentially methylated loci between cases and controls, using network based regularization. It is able to detect any differences in means only, in variances only or in both means and variances.

Title: Generalized Least Square in comparative Phylogenetics
Author: Xianyun Mao <xianyunmao@gmail.com> and Timothy Ryan
Description: Based on the Generalized Least Square model for

Title: Estimating Multiple Gaussian Graphical Models (GGM) in Penalized
Description: This is an R and C code implementation of the New-SP and New-JGL method of Gao et al. (2016) <DOI:10.1214/16-EJS1135> to perform model-based clustering and multiple graph estimation.

Title: Pseudo-Realizations for Gaussian Process Excursions
Authors@R: c(person("Dario","Azzimonti",role=c("aut","cre","cph"),email= "dario.azzimonti@gmail.com"),person("Julien","Bect", role=c("ctb"),email = "julien.bect@centralesupelec.fr"),person("Pedro","Felzenszwalb",role= c("ctb","cph"),comment="Original dt code, http://cs.brown.edu/people/pfelzens/dt/index.html"))
Author: Dario Azzimonti [aut, cre, cph],
Pedro Felzenszwalb [ctb, cph] (Original dt code,
Description: Computes pseudo-realizations from the posterior distribution of a Gaussian Process (GP) with the method described in Azzimonti et al. (2016) <doi:10.1137/141000749>. The realizations are obtained from simulations of the field at few well chosen points that minimize the expected distance in measure between the true excursion set of the field and the approximate one. Also implements a R interface for (the main function of) Distance Transform of sampled Functions (<http://cs.brown.edu/people/pfelzens/dt/index.html>).
Imports: Rcpp (>= 0.12.13), DiceKriging, pbivnorm, KrigInv, rgenoud,