c(person("Chia-Wei", "Hsu", role = c("aut", "cre"),
email = "Chia-Wei.Hsu@stjude.org"),
person("Haitao", "Pan", role = "aut"))
Bayesian adaptive randomization is also called outcome adaptive randomization, which is increasingly used in clinical trials.
Chia-Wei Hsu [aut, cre],
Haitao Pan [aut]

This is a package for automated redistricting and heuristic exploration of redistricter revealed preference

This is a package for automated redistricting and
heuristic exploration of redistricter revealed preference

A Bayesian Repulsive Biclustering Model for Periodontal Data
c( person("Yuliang", "Li", email = "yli193@jhu.edu", role = c("aut", "cre")),
person("Yanxun", "Xu", email = "yxu.jhu@gmail.com", role = c("aut")),
person("Dipankar", "Bandyopadhyay", email = "bandyopd@gmail.com", role = c("aut")),
person("John", "Burkardt", email = "burkardt@vt.edu", role = c("ctb"))
)
BAREB, a BAyesian REpulsive Biclustering model,
that can simultaneously cluster the Periodontal diseases (PD) patients
and their tooth sites after taking the patient- and site-level covariates into consideration.
BAREB uses the determinantal point process (DPP) prior to induce diversity
among different biclusters to facilitate parsimony and interpretability.
Essentially, BAREB is a cluster-wise linear model based on Yuliang (2019) <arXiv:1902.05680>.
Yuliang Li [aut, cre],
Yanxun Xu [aut],
Dipankar Bandyopadhyay [aut],
John Burkardt [ctb]

Access and Import Data from the French Open Data Portal
Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Allows the user to access and import data from the rich French open data portal through the provided free API <https://doc.data.gouv.fr/api/reference/>.
The portal is free, and no credential is required for extracting datasets.

magrittr, dplyr, data.table, downloader, sf, XML, httr, rgdal,
janitor, rio, jsonlite, stringr, utils, memoise, stringi,
shiny, miniUI, rstudioapi

magrittr, dplyr, data.table, downloader, sf, XML, httr, rgdal,
janitor, rio, jsonlite, stringr, utils, memoise, stringi,
shiny, miniUI, rstudioapi, checkmate