This package provides efficient Bayesian nonparametric models for network discovery
Zhou Lan, Jian Kang, Tianwei Yu, Yize Zhao

Bayesian Group Sequential Design for Ordinal Data
c(person("Chengxue", "Zhong", role = c("aut", "cre"),
email = "chengxue.zhong@uth.tmc.edu"),
person("Haitao", "Pan", role = "aut"),
person("Hongyu", "Miao", role = "aut"))
The proposed group-sequential trial design is based on Bayesian methods for ordinal endpoints,
including three methods, the proportional-odds-model (PO)-based, non-proportional-odds-model (NPO)-based,
and PO/NPO switch-model-based designs, which makes our proposed methods generic to be able to deal with
various scenarios.
Richard J. Barker, William A. Link (2013) <doi:10.1080/00031305.2013.791644>.
Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, Wayne L.Hofstetter (2018) <doi:10.1111/biom.12842>.
Chengxue Zhong, Haitao Pan, Hongyu Miao (2021) <arXiv:2108.06568>.
ordinal, schoolmath, tidyverse, fda, coda, gsDesign,
superdiag, ggplot2, madness, rjmcmc, R2jags, rjags, methods
Chengxue Zhong [aut, cre],
Haitao Pan [aut],
Hongyu Miao [aut]

ordinal, schoolmath, tidyverse, fda, coda, gsDesign,
superdiag, ggplot2, madness, rjmcmc, R2jags, rjags, methods,
DescTools

c(person("Chengxue", "Zhong", role = c("aut", "cre"),
email = "czhong9106@gmail.com"),
person("Haitao", "Pan", role = "aut"),
person("Hongyu", "Miao", role = "aut"))
ordinal, schoolmath, coda, gsDesign, superdiag, ggplot2,
madness, rjmcmc, R2jags, rjags, methods,

c(
person(given = "Yueqi",
family = "Shen",
role = c("cre"),
email = "ys137@live.unc.edu"),
person(given = "Matthew A.",
family = "Psioda",
role = c("aut"),
email = "matt_psioda@unc.edu"),
person(given = "Joseph G.",
family = "Ibrahim",
role = c("aut"),
email = "ibrahim@bios.unc.edu"))
Bayesian power/type I error calculation and model fitting using
the power prior and the normalized power prior for generalized linear models.
The Bayesian clinical trial design methodology is described in Chen et al. (2011)
<doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019)
<doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006)
<doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.
Yueqi Shen [cre],
Matthew A. Psioda [aut],
Joseph G. Ibrahim [aut]