Execute NONMEM models via the right-click menu (with user specified commands)
Wouldn’t it be nice to have this option when you click on a model file: It can be quite a hassle to start the execution of your NONMEM models. Luckily, …
Visualizing the NONMEM model fit in R using mrgsolve – with code
It is difficult to grasp what non-linear mixed effects modelling software is actually doing when you start a run. Furthermore, the iteration prints that you see in the console (when …
A step-by-step guide to percentile visual predictive checks (VPC) of NONMEM models
This blog is an extension on the previously discussed scatter VPC. A percentile visual predictive check (VPC) can be used to compare the distribution of the observations with the simulated distributions …
Running NONMEM models and R-scripts from batch (.bat) files
When you start to use NONMEM, the first thing that you notice is that there is no graphical user interface (GUI) that comes with it. This can be a shock …
A step-by-step guide to confidence interval visual predictive checks (VPC) of NONMEM models
Last time, we focused on the percentile VPC, which was already quite an improvement to the scatter VPC but one may wonder when looking at a percentile VPC, how certain …
A step-by-step guide to scatter visual predictive checks (VPC) of NONMEM models
There are many different ways to evaluate model performance, and sometimes it seems that there are even more ways to use a visual predictive check (VPC) for your population PK …
A step-by-step guide to goodness of fit figures of NONMEM models in R using ggplot2
Model evaluation is a critical step in model development. A very good paper on how to evaluate continuous data pharmacometric models was published by Nguyen et al. in 2017, this …