A diagnostic tool for population models using non-compartmental analysis: The ncappc package for R

Highlights • ncappc performs (i) NCA and (ii) simulation-based posterior predictive checks using NCA metrics. • ncappc package is highly flexible and comprehensive. • Can perform both individual and population level diagnostics. • Produces output summarizing the diagnostic results including the mode...

Full description

Saved in:
Bibliographic Details
Published inComputer methods and programs in biomedicine Vol. 127; pp. 83 - 93
Main Authors Acharya, Chayan, Hooker, Andrew C, Türkyılmaz, Gülbeyaz Yıldız, Jönsson, Siv, Karlsson, Mats O
Format Journal Article
LanguageEnglish
Published Ireland Elsevier Ireland Ltd 01.04.2016
Subjects
Computer simulation
Deviation
Diagnosis
Diagnostic systems
Drugs
Estimates
Humans
Internal Medicine
Mathematical models
Models, Theoretical
Non-compartmental analysis (NCA)
NONMEM
Other
Packages
Posterior predictive check
Simulation-based diagnostic
Simulation-based diagnostic
PK
Non-compartmental analysis (NCA)
Posterior predictive check
NONMEM
Online AccessGet full text

Cover

More Information
Summary:Highlights • ncappc performs (i) NCA and (ii) simulation-based posterior predictive checks using NCA metrics. • ncappc package is highly flexible and comprehensive. • Can perform both individual and population level diagnostics. • Produces output summarizing the diagnostic results including the model specific outliers. • The output is easy to interpret and to use in evaluation of a population PK model.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0169-2607
1872-7565
1872-7565
DOI:10.1016/j.cmpb.2016.01.013