Returns the Bayesian population prior predictions at short intervals specified during the NPAG run, up to 12 minutes.

## Arguments

- run
The number of the folder that contains the relevant run. If missing,

`NPdata`

will be used.- NPdata
Optional name of NPdata object if run is missing.

## Value

A dataframe of class *PMpop* with columns:

- id
Subject id

- time
Time of predictions in decimal hours

- icen
Prediction based on mean or median of Bayesian posterior parameter distribution

- pred
Predicted output for each outeq

- outeq
Output equation number

- block
Observation blocks within subjects as defined by EVID=4 dosing events

## Details

Predictions are calculated using the median (default) or mean of the Bayesian prior parameter values and each subject's dosing, sampling, and covariate (if relevant) information.

## Examples

```
library(PmetricsData)
pop <- makePop(NPdata = NPex$NPdata)
```