NCA Calculations and Population Model Diagnosis

A flexible tool that can perform (i) traditional non-compartmental analysis (NCA) and (ii) Simulation-based posterior predictive checks for population pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using NCA metrics. The methods are described in Acharya et al. (2016) .


ncappc: NCA Calculations and population model diagnosis

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ncappc performs NCA Calculations and population model diagnosis using posterior predictive checks generated from data simulated by a population model.

ncappc is a flexible tool that can perform:

  1. Traditional non-compartmental analysis (NCA) and
  2. Simulation-based posterior predictive checks for population pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using NCA metrics.

You can read more at the website for the stable version of ncappc or the website for the development version of ncappc

Installation

You need to have R installed. Download the latest version of R from www.r-project.org.

You can install the latest stable release from CRAN:

install.packages("ncappc")

You can install the development version of ncappc from GitHub with:

# install.packages("pak")
pak::pak("UUPharmacometrics/ncappc")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ncappc")

1.0.0 by Andrew C. Hooker, a year ago


https://github.com/UUPharmacometrics/ncappc, https://uupharmacometrics.github.io/ncappc/


Report a bug at https://github.com/UUPharmacometrics/ncappc/issues


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


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


Documentation:   PDF Manual  


GPL-3 license


Imports scales, gtable, knitr, xtable, reshape2, dplyr, readr, lazyeval, PopED, magrittr, rlang, purrr, tibble, rmarkdown, tidyr, ggplot2, grid, gridExtra, grDevices, stats, bookdown

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See at CRAN