person("Tim CD", "Lucas", email =  "timcdlucas@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4694-8107")),
person("Dave", "Redding", email = "dwredding@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-8615-1798"))

Title: Quality Control of Climatological Daily Time Series
person(given = "Enric", family = "Aguilar", role = c("aut", "cre"), email = "enric.aguilar@urv.cat", comment = c(ORCID = "0000-0002-8384-377X")),
person(given = "Oleg", family = "Skrynyk", role =  "aut", email = "oleg.y.skrynyk@gmail.com", comment = c(ORCID = "0000-0001-8827-0280")))
Description: Collection of functions for quality control (QC) of climatological daily time series (e.g. the ECA&D station data).
Imports: evd, gdata, suncalc, stats, utils
Author: Enric Aguilar [aut, cre] (<https://orcid.org/0000-0002-8384-377X>),

Title: IN-vivo reSPonsE Classification of Tumours
person(given = "Bairu", family = "Zhang", email = "bairu.zhang@astrazeneca.com", role = c("cre", "aut")),
person(given = "Olga", family = "Muraeva", email = "olga.muraeva@astrazeneca.com", role = c("aut")),
person(given = "Natasha", family = "Karp", email = "natasha.karp@astrazeneca.com", role = c("aut"))
Description: This is a shiny app used for the statistical classifying and analysing
Imports: brms, dplyr, DT, ggeffects, ggplot2, knitr, lme4, modelr,
pander, plotly, purrr, readxl, rlang, rmarkdown, shiny,
shinyalert, shinyFeedback, shinyjs, shinytoastr, shinyvalidate,

Title: Inferring Shared Modules from Multiple Gene Expression Datasets
Description: A method to infer modules of co-expressed genes and the
dependencies among the modules from multiple expression datasets that may
contain different sets of genes. Please refer to: Extracting a low-dimensional
description of multiple gene expression datasets reveals a potential driver for
tumor-associated stroma in ovarian cancer, Safiye Celik, Benjamin A. Logsdon,
Stephanie Battle, Charles W. Drescher, Mara Rendi, R. David Hawkins and Su-In

Title: Quantify and Control Reproducibility in High-Throughput
Description: Estimate the proportions of the null and the reproducibility and
non-reproducibility of the signal group for the input data set. The Bayes factor
calculation and EM (Expectation Maximization) algorithm procedures are also