Authors@R: c(person("Chia-Wei", "Hsu", role = c("aut", "cre"),
Description: Bayesian adaptive randomization is also called outcome adaptive randomization, which is increasingly used in clinical trials.

Description: This is a package for automated redistricting and heuristic exploration of redistricter revealed preference
License: GPL 3.0 Affero (with attribution)
Packaged: Thu Sep 13 16:54:05 2007; maltman

Packaged: Wed Jan  7 09:09:01 2009; hornik

Description: This is a package for automated redistricting and
heuristic exploration of redistricter revealed preference
Packaged: 2009-10-30 04:00:57 UTC; micahaltman

Packaged: 2010-01-08 04:59:08 UTC; micahaltman

Packaged: 2010-01-17 23:04:19 UTC; micahaltman

Packaged: 2010-01-26 02:37:03 UTC; micahaltman

Packaged: 2010-04-24 18:14:31 UTC; micahaltman

Packaged: 2010-05-08 22:04:04 UTC; micahaltman

Packaged: 2010-09-29 04:15:56 UTC; micahaltman

Title: A Bayesian Repulsive Biclustering Model for Periodontal Data
Authors@R: 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"))
Description: 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>.
Packaged: 2020-02-29 20:09:26 UTC; yuliangli

Title: Access and Import Data from the French Open Data Portal
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Description: 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.
Packaged: 2020-02-17 13:16:59 UTC; Administrateur