EK-Lee/asVPC: Average Shifted Visual Predictive Checks
The visual predictive checks are well-known method to validate the nonlinear mixed effect model, especially in pharmacometrics area. The average shifted visual predictive checks are the newly developed method of visual predictive checks combined with the idea of the average shifted histogram.
Getting started
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Package details |
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| Author | Eun-Kyung Lee |
| Maintainer | Eun-Kyung Lee <lee.eunk@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.0.5 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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