Fast Bayesian Inference in Large Gaussian Graphical Models
Gwenael G.R. Leday [cre, aut],
Ilaria Speranza [aut],
Harry Gray [ctb]
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"))
stats, methods, grDevices, graphics, Matrix, fdrtool, igraph,
knitr
Fast Bayesian inference of marginal and conditional independence structures between variables from high-dimensional data (Leday and Richardson (2018) <arXiv:1803.08155>).

stats, methods, grDevices, graphics, Matrix, fdrtool, igraph,
knitr, Rcpp, assertthat
Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data.

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"))
Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, <doi:10.1111/biom.13064>.

Visualization via Beanplots (like Boxplot/Stripchart/Violin
Plot)
Plots univariate comparison graphs, an alternative to
boxplot/stripchart/violin plot.

Visualization via Beanplots (Like Boxplot/Stripchart/Violin
Plot)

person(given = "Max",
family = "Kuhn",
role = c("aut", "cre"),
email = "mxkuhn@gmail.com",
comment = c(ORCID = "0000-0003-2402-136X"))
These data contain morphological image measurements for dried
beans from Koklu and Ozkan (2020) <doi:10.1016/j.compag.2020.105507>.

Bayesian Analysis of Heterogeneous Treatment Effect
Chenguang Wang [aut, cre],
Ravi Varadhan [aut],
Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
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.
stan_fit4nse_mod, stan_fit4fs_mod, stan_fit4sr_mod,
stan_fit4bs_mod, stan_fit4srs_mod, stan_fit4ds_mod,
stan_fit4eds_mod