Title: Semi- and nonparametric Bayesian Subset Selection Procedures
Description: Implement the Bayesian subset selection procedure proposed in the paper titled "Bayesian Subset Selection Procedures with an Application to Lumber Strength Properties" by Yumi Kondo, James V. Zidek, Carolyn Taylor, and Constance van Eeden. This procedure models the lumber strengths with Dirichlet processes (DP) with the Weibull components and finds, with pre-specified certainty, the smallest subset that contains those species having the smallest alpha-th quantile of strength (i.e., the weakest species). We consider two models for the strengths: [1] A semi-parametric model which assumes that strengths are from the DP mixture of Weibulls; [2] the nonparametric model which assumes that probability measures of strengths are from DP with Weibull base distribution. Either model can be used to estimate the posterior probability that a subset contains the weakest species.

is to find the subset containing the weakest species with some
acceptable certainty; Suppose we have sampled some quality
measures T_{k,j} (>=0) from K species (k=1...K, j=1,...,m_j=
sample size of jth species), and wish to find the species with
the smallest alpha quantile (say, 5th quantile) of T (namely
the weakest species).Due to the smalle sample size (m_k) or
able to select a single species as a weakest species with

Title: Graphical User Interface for Data Quality Assessment
person("Lorenz A.", "Kapsner", , "lorenz.kapsner@uk-erlangen.de", role = c("cre", "aut"),
person("Jonathan M.", "Mang", role = "aut",
person("Universitätsklinikum Erlangen", role = "cph")
Description: A graphical user interface (GUI) to the functions implemented in the R package 'DQAstats'.
Imports: data.table, daterangepicker, DIZutils (>= 0.0.12), DQAstats
(>= 0.2.3), DT, jsonlite, knitr, lubridate, magrittr,
parsedate, shiny, shinyalert, shinydashboard, shinyFiles,
Author: Lorenz A. Kapsner [cre, aut] (<https://orcid.org/0000-0003-1866-860X>),
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@uk-erlangen.de>