Individual Bayesian population prior predictions at short intervalsSource:
Returns the Bayesian population prior predictions at short intervals specified during the NPAG run, up to 12 minutes.
The number of the folder that contains the relevant run. If missing,
NPdatawill be used.
Optional name of NPdata object if run is missing.
A dataframe of class PMpop with columns:
Time of predictions in decimal hours
Prediction based on mean or median of Bayesian posterior parameter distribution
Predicted output for each outeq
Output equation number
Observation blocks within subjects as defined by EVID=4 dosing events
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.