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.

Create Visual Predictive Checks

package-ubuntu-20.04-r-4.0.5#cran#vpc-1.2.2

<p>A nicer default theme for ggplot2
</p>

vpc(simple_data$sim, simple_data$obs) + theme_plain()

package-ubuntu-20.04-r-4.0.5#cran#vpc-1.2.2#docs#theme_plain

theme_plain

Description

Usage

Examples

vpc

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