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Package: aNCA
Title: (Pre-)Clinical NCA in a Dynamic Shiny App
Version: 0.1.0.9157
Authors@R: c(
person("Ercan", "Suekuer", email = "ercan.suekuer@roche.com", role = "aut",
comment = c(ORCID = "0009-0001-1626-1526")),
person("Gerardo Jose", "Rodriguez", email = "gerardo.jrac@gmail.com", role = "aut",
comment = c(ORCID = "0000-0003-1413-0060")),
person("Pascal", "Baertschi", email = "paesce.26@gmail.com", role = "aut",
comment = c(ORCID = "0000-0002-6533-0399")),
person("Jana", "Spinner", email = "spinnerjana@gmail.com", role = "aut",
comment = c(ORCID = "0009-0009-2197-9530")),
person("Mateusz", "Kolomanski", email = "mateusz.kolomanski@appsilon.com", role = "aut",
comment = c(ORCID = "0000-0001-7424-3919")),
person("Lucy", "Aspridis", email = "lucy.aspridis@gmail.com", role = "aut",
comment = c(ORCID = "0009-0003-1300-3622")),
person("Valentin", "Legras", email = "anca.pharmaverse@gmail.com", role = c("aut", "cre")),
person("F. Hoffmann-La Roche AG", role = c("cph", "fnd"))
)
Description: An interactive 'shiny' application for performing non-compartmental analysis (NCA) on
pre-clinical and clinical pharmacokinetic data. The package builds on 'PKNCA' for core estimators and provides interactive visualizations, CDISC
outputs ('ADNCA', 'PP', 'ADPP'), configurable TLGs (tables, listings, and graphs) and
draft slide decks. Typical use cases include exploratory
analysis, validation, reporting or teaching/demonstration of NCA methods. Methods and core
estimators are described in Denney, Duvvuri, and Buckeridge (2015) "Simple, Automatic
Noncompartmental Analysis: The PKNCA R Package" <doi:10.1007/s10928-015-9432-2>.
License: Apache License (>= 2)
Imports:
bslib,
dplyr,
formatters,
ggplot2,
glue,
htmltools,
htmlwidgets,
logger,
magrittr,
PKNCA (>= 0.12.1),
plotly (>= 4.11.0),
purrr,
reactable,
reactable.extras,
rlang,
shiny,
shinycssloaders,
shinyjs,
shinyjqui,
shinyWidgets,
stats,
tern,
tidyr,
units,
utils,
writexl,
yaml,
zip
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Suggests:
arrow,
covr,
DT,
flextable,
ggh4x,
haven,
jsonlite,
knitr,
lintr (>= 3.2.0),
markdown,
mockery,
nestcolor,
officer,
pak,
readxl,
rlistings,
rmarkdown,
sass,
scales,
shinytest2,
testthat (>= 3.0.0),
tools,
quarto,
vdiffr,
withr
Config/testthat/edition: 3
Language: en-US
URL: https://pharmaverse.github.io/aNCA/, https://github.com/pharmaverse/aNCA
BugReports: https://github.com/pharmaverse/aNCA/issues
Depends:
R (>= 4.1)
LazyData: true