Simulation models (apps) of various within-host immune response scenarios.
The purpose of the package is to help individuals learn
about within-host infection and immune response modeling from a dynamical systems perspective.
All apps include explanations of the underlying models and instructions on what to do with the models.
c(
person("Andreas", "Handel", email = "ahandel@uga.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4622-1146") ),
person("Cody", "Dailey",  role = "ctb"),
person("Yang", "Ge",  role = "ctb"),
person("Spencer", "Hall",  role = "ctb"),
person("Brian", "McKay",  role = "ctb"),
person("Sina", "Solaimanpour",  role = "ctb"),
person("Alexis", "Vittengl",  role = "ctb"),
person("Henok", "Woldu",  role = "ctb")
)
Andreas Handel [aut, cre] (<https://orcid.org/0000-0002-4622-1146>),
Cody Dailey [ctb],
Yang Ge [ctb],
Spencer Hall [ctb],
Brian McKay [ctb],
Sina Solaimanpour [ctb],
Alexis Vittengl [ctb],
Henok Woldu [ctb]

c(
person("Andreas", "Handel", email = "andreas.handel@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4622-1146") ),
person("Cody", "Dailey",  role = "ctb"),
person("Yang", "Ge",  role = "ctb"),
person("Spencer", "Hall",  role = "ctb"),
person("Brian", "McKay",  role = "ctb"),
person("Sina", "Solaimanpour",  role = "ctb"),
person("Alexis", "Vittengl",  role = "ctb"),
person("Henok", "Woldu",  role = "ctb")
)
covr, devtools, emoji, knitr, pkgdown, rmarkdown, roxygen2,
testthat

Bayesian subgroup analysis in clinical trials
Ravi Varadhan <rvaradhan@jhmi.edu> and Wenliang Yao <yaow080@gmail.com>
Calculate posterior modes and credible intervals of parameters of the Dixon-Simon model for subgroup analysis (with binary covariates) in clinical trials.

c(person(given = "Yannick",
family = "Marcon",
role = c("aut", "cre"),
email = "yannick.marcon@obiba.org",
comment = c(ORCID = "0000-0003-0138-2023")),
person(given = "Amadou",
family = "Gaye",
role = "ctb",
comment = c(ORCID = "0000-0002-1180-2792")),
person(given = "Paul",
family = "Burton",
role = "ctb"))
'DataSHIELD' is an infrastructure and series of R packages that
enables the remote and 'non-disclosive' analysis of sensitive research data.
This package defines the API that is to be implemented by 'DataSHIELD' compliant
data repositories.
'DSObject.R' 'hidden.R' 'DSConnection.R' 'DSDriver.R'
'DSLoginBuilder.R' 'DSResult.R' 'datashield.aggregate.R'
'datashield.assign.R' 'datashield.connections.R'
'datashield.login.R' 'datashield.logout.R'
'datashield.status.R' 'datashield.symbol.R'
'datashield.workspace.R' 'rd.R' 'utils.R'
Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>),
Amadou Gaye [ctb] (<https://orcid.org/0000-0002-1180-2792>),
Paul Burton [ctb]