Title: Fast Bayesian Inference in Large Gaussian Graphical Models
Authors@R: c(person("Gwenael G.R.","Leday", role=c("cre", "aut"), email="gwenael.leday@mrc-bsu.cam.ac.uk"), person("Ilaria", "Speranza", role = "aut"), person("Harry", "Gray", role = "ctb"))
Maintainer: Gwenael G.R. Leday <gwenael.leday@mrc-bsu.cam.ac.uk>
Imports: stats, methods, grDevices, graphics, Matrix, fdrtool, igraph,
Description: Fast Bayesian inference of marginal and conditional independence structures between variables from high-dimensional data (Leday and Richardson (2018) <arXiv:1803.08155>).

Description: Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data.

Authors@R: c(person("Gwenael G.R.","Leday", role=c("cre", "aut"), email="gwenael.leday@wur.nl"), person("Ilaria", "Speranza", role = "aut"), person("Harry", "Gray", role = "ctb"))
Maintainer: Gwenael G.R. Leday <gwenael.leday@wur.nl>
Description: Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, <doi:10.1111/biom.13064>.

Title: Visualization via Beanplots (like Boxplot/Stripchart/Violin
Description: Plots univariate comparison graphs, an alternative to
Packaged: Thu Nov 6 23:12:12 2008; zeileis

Title: Visualization via Beanplots (Like Boxplot/Stripchart/Violin

Description: These data contain morphological image measurements for dried
beans from Koklu and Ozkan (2020) <doi:10.1016/j.compag.2020.105507>.

Title: Bayesian Analysis of Heterogeneous Treatment Effect
Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Description: It is vital to assess the heterogeneity of treatment effects
(HTE) when making health care decisions for an individual patient or a group
of patients. Nevertheless, it remains challenging to evaluate HTE based
on information collected from clinical studies that are often designed and
conducted to evaluate the efficacy of a treatment for the overall population.
The Bayesian framework offers a principled and flexible approach to estimate
and compare treatment effects across subgroups of patients defined by their
characteristics. This package allows users to explore a wide range of Bayesian
HTE analysis models, and produce posterior inferences about HTE.
Imports: rstan (>= 2.8.1), methods, survival
Suggests: knitr, shiny, anoint, rmarkdown, pander