Nothing
vpc: Create Visual Predictive Checks
Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ron Keizer <ronkeizer@gmail.com> |
| Maintainer | Ron Keizer <ronkeizer@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.2.2 |
| URL | https://github.com/ronkeizer/vpc |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the vpc package in your browser
Any scripts or data that you put into this service are public.
