c(person("Jonah", "Gabry", role = c("aut", "cre"), email = "jsg2201@columbia.edu"),
person("Tristan", "Mahr", role = "aut"),
person("Paul-Christian", "Bürkner", role = "ctb"),
person("Martin", "Modrák", role = "ctb"),
person("Malcolm", "Barrett", role = "ctb"),
person("Frank", "Weber", role = "ctb"),
person("Eduardo", "Coronado Sroka", role = "ctb"),
person("Aki", "Vehtari", role = "ctb"))
ggfortify, gridExtra (>= 2.2.1), hexbin, knitr (>= 1.16), loo
(>= 2.0.0), RColorBrewer, rmarkdown (>= 1.0.0), rstan (>=
2.17.1), rstanarm (>= 2.17.4), rstantools (>= 1.5.0), scales,
shinystan (>= 2.3.0), survival, testthat (>= 2.0.0), vdiffr
Jonah Gabry [aut, cre],
Tristan Mahr [aut],
Paul-Christian Bürkner [ctb],
Martin Modrák [ctb],
Malcolm Barrett [ctb],
Frank Weber [ctb],
Eduardo Coronado Sroka [ctb],
Aki Vehtari [ctb]

Hierarchical Bayesian analysis of ecological count data
This program implements a hierarchical Bayesian analysis
of count data, such as preference experiments. It provides
population-level and individual-level preference parameter
estimates obtained via MCMC. It also allows for model
comparison using Deviance Information Criterion.
coda, lattice, MASS, MCMCpack, RColorBrewer

Bayesian Regression Models with Continuous Shrinkage Priors
Fits linear or logistic regression model using Bayesian continuous
shrinkage prior distributions. Handles ridge, lasso, horseshoe and horseshoe+
regression with logistic, Gaussian, Laplace or Student-t distributed targets.

Bayesian Regression Models with Global-Local Shrinkage Priors
Daniel F. Schmidt [aut, cph, cre],
Enes Makalic [aut, cph]
Fits linear or logistic regression model using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott (2010) <doi:10.1093/acprof:oso/9780199694587.003.0017>. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student-t distributed targets using the algorithms summarized in Makalic and Schmidt (2016) <arXiv:1611.06649>.
c(
person("Daniel F. Schmidt", email="daniel.schmidt@monash.edu", role = c("aut","cph","cre")),
person("Enes Makalic", email="emakalic@unimelb.edu.au", role=c("aut","cph"))
)