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aNCA  

(Pre-)Clinical NCA in a Dynamic Shiny App
View on CRAN: Click here


Download and install aNCA package within the R console
Install from CRAN:
install.packages("aNCA")

Install from Github:
library("remotes")
install_github("cran/aNCA")

Install by package version:
library("remotes")
install_version("aNCA", "0.1.0")



Attach the package and use:
library("aNCA")
Maintained by
Valentin Legras
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-09
Latest Update: 2025-12-09
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') and configurable TLGs (tables, listings, and graphs). 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>.
How to cite:
Valentin Legras (2025). aNCA: (Pre-)Clinical NCA in a Dynamic Shiny App. R package version 0.1.0, https://cran.r-project.org/web/packages/aNCA. Accessed 10 Mar. 2026.
Previous versions and publish date:
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Complete documentation for aNCA
Functions, R codes and Examples using the aNCA R package
Full aNCA package functions and examples
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