c(
person(given = "Laure", family = "Cougnaud", role = c("aut", "cre"),
email = "laure.cougnaud@openanalytics.eu"),
person(given = "Michela", family = "Pasetto", role = "aut",
email = "michela.pasetto@openanalytics.eu"),
person(given = "Lennart", family = "Tuijnder", role = "aut"),
person(given = "Adriaan", family = "Blommaert", role = "aut"),
person(given = "Arne", family = "De Roeck", role = c("ctb", "rev"),
comment = "rev: tests"),
person(given = "Open Analytics", role = "cph")
)
bookdown, clinUtils (>= 0.1.0), crosstalk, data.table,
ggplot2, haven, htmltools, htmlwidgets, knitr, jsonlite,
jsonvalidate, methods, plotly, plyr, rmarkdown, stats, stringr,
utils, tools, yaml, xml2, xfun
countrycode, inTextSummaryTable (>= 3.1.0),
patientProfilesVis (>= 0.12.0), testthat, DT
Laure Cougnaud [aut, cre],
Michela Pasetto [aut],
Lennart Tuijnder [aut],
Adriaan Blommaert [aut],
Arne De Roeck [ctb, rev] (rev: tests),
Open Analytics [cph]

c(person("Ron", "Keizer", email = "ron@insight-rx.com", role
= "aut"), person("Jasmine", "Hughes", email =
"jasmine@insight-rx.com", role = "aut"), person("Dominic",
"Tong", email = "dominic@insight-rx.com", role = "aut"),
person("Kara", "Woo", email = "kara@insight-rx.com", role =
c("aut", "cre")), person("InsightRX", role = c("cph", "fnd")))
Calculates equations commonly used in clinical
pharmacokinetics and clinical pharmacology, such as equations
for dose individualization, compartmental pharmacokinetics,
drug exposure, anthropomorphic calculations, clinical
chemistry, and conversion of common clinical parameters. Where
possible and relevant, it provides multiple published and
peer-reviewed equations within the respective R function.
Ron Keizer [aut],
Jasmine Hughes [aut],
Dominic Tong [aut],
Kara Woo [aut, cre],
InsightRX [cph, fnd]

Calculates equations commonly used in clinical pharmacokinetics and clinical pharmacology, such as equations for dose individualization, compartmental pharmacokinetics, drug exposure, anthropomorphic calculations, clinical chemistry, and conversion of common clinical parameters. Where possible and relevant, it provides multiple published and peer-reviewed equations within the respective R function.