NCA Calculation and Population PK Model Diagnosis

A flexible tool is presented here that can perform (i) traditional non-compartmental analysis (NCA) and (ii) simulation-based posterior predictive checks for a population pharmacokinetic (PK) model using NCA metrics.


Installation

You need to have R installed. Download the latest version of R from www.r-project.org. Install ncappc in R from Github. Note that the command below installs the "master" (development) branch; if you want the release branch from Github add ref="release" to the install_github() call. The install_github() approach requires that you build from source, i.e. make and compilers must be installed on your system -- see the R FAQ for your operating system; you may also need to install dependencies manually.

Follow the steps shown below.

install.packages("devtools")

library(devtools)

devtools::install_github("cacha0227/ncappc",build_vignettes=TRUE)

library(ncappc)

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Reference manual

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install.packages("ncappc")

0.2.1.1 by Chayan Acharya, 2 years ago


Browse source code at https://github.com/cran/ncappc


Authors: Chayan Acharya [aut, cre], Andrew C. Hooker [aut], Siv Jonsson [aut], Mats O. Karlsson [aut]


Documentation:   PDF Manual  


Task views: Analysis of Pharmacokinetic Data


GPL-3 license


Imports scales, gtable, knitr, xtable, reshape2, testthat, dplyr, readr, lazyeval

Depends on ggplot2, grid, gridExtra


See at CRAN