Welcome to the npde package in R

The \(\sf{npde}\) project is an R package available in CRAN that provides routines to compute normalised prediction distribution errors and normalised prediction discrepancies, which are simulation-based residuals designed to evaluate non-linear mixed effect models such as those used in pharmacokinetics and pharmacodynamics. References concerning the methods include the papers (Brendel et al. 2006), (Emmanuelle Comets, Brendel, and Mentré 2008), (THT Nguyen and Mentré 2012), (Emmanuelle and France 2021).

User Guide

A comprehensive user guide providing documentation about npde, no longer bundled along with the package because of its size, is now available on the GitHub repository https://github.com/ecomets/npde30/blob/main/userguide_npde_3.1.pdf.

Legalese

npde is a software distributed under the terms of the GNU GENERAL PUBLIC LICENSE Version 2, June 1991 ( [GPL-2] (https://cran.r-project.org/web/licenses/GPL-2) | [GPL-3] (https://cran.r-project.org/web/licenses/GPL-3) [expanded from: GPL (>=2)]). The terms of this license are in a file called COPYING which you should have received with this software.

If you have not received a copy of this file, you can obtain one via the world wide web at http://www.gnu.org/copyleft/gpl.html, or by writing to:

The Free Software Foundation, Inc.,51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.

References

Brendel, Karl, Emmanuelle Comets, Céline Laffont, Christian Laveille, and France Mentré. 2006. “Metrics for External Model Evaluation with an Application to the Population Pharmacokinetics of Gliclazide.” Pharmaceutical Research 23: 2036–49.
Comets, Emmanuelle, Karl Brendel, and France Mentré. 2008. “Computing Normalised Prediction Distribution Errors to Evaluate Nonlinear Mixed-Effect Models: The Npde Add-on Package for R.” Computer Methods and Programs in Biomedicine 90: 154–66.
Emmanuelle, Comets, and Mentré France. 2021. “Developing tools to evaluate non-linear mixed effect models: 20 years on the npde adventure.” AAPS Journal 23 (4): 75. https://www.hal.inserm.fr/inserm-03241629.
THT Nguyen, E Comets, and F Mentré. 2012. “Prediction discrepancies (pd) for evaluation of models with data under limit of quantification.” Journal of Pharmacokinetics and Pharmacodynamics 39: 499–518.