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DESCRIPTION
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Package: aNCA
Title: (Pre-)Clinical NCA in a Dynamic Shiny App
Version: 0.0.0.9001
Authors@R: c(
person("Ercan", "Suekuer", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0009-0001-1626-1526")),
person("Gerardo Jose", "Rodriguez", , "[email protected]", role = "aut",
comment = c(ORCID = "0000-0003-1413-0060")),
person("Pascal", "Baertschi", , "[email protected]", role = "aut",
comment = c(ORCID = "0000-0002-6533-0399")),
person("Jana", "Spinner", , "[email protected]", role = "aut",
comment = c(ORCID = "0009-0009-2197-9530")),
person("F. Hoffmann-La Roche AG", role = c("cph", "fnd"))
)
Description: This application enables users to upload their datasets and
perform Non-Compartment Analysis (NCA) on both pre-clinical and
clinical datasets, with the results being easily visualizable. The NCA
can be tailored to calculate pharmacokinetic parameters for various
dosing regimens and time points, given certain restrictions. It also
features manual slope selection, simplifying the process of conducting
lambda-z-regression and PK-timepoint exclusions. Furthermore, the
pharmacokinetic parameters can be dynamically visualized through
customized graphics such as line and mean plots. The calculated
pharmacokinetic parameters can be compiled in a dynamic table,
visualized using boxplots, or exported as a comprehensive report.
Designed with user-friendliness in mind, this app aims to make NCA
accessible and straightforward for all scientists.
License: MIT + file LICENSE
Imports:
bslib,
checkmate,
dplyr,
DT,
forcats,
ggh4x,
ggplot2,
glue,
haven,
htmlwidgets,
logger,
magrittr,
nestcolor,
PKNCA,
plotly,
purrr,
reactable,
reactable.extras,
rio,
rmarkdown,
scales,
shiny,
shinyBS,
shinycssloaders,
shinyFiles,
shinyjqui,
shinyjs,
shinyWidgets,
stats,
stringi,
stringr,
tern,
tidyr,
tools,
utils,
units,
rlang,
yaml,
zip
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Files: LICENSE
Suggests:
lintr (>= 3.1.2),
testthat (>= 3.0.0)
Config/testthat/edition: 3
Language: en-US