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[Stable]

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

Usage

makePop(run, NPdata)

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.

Author

Michael Neely

Examples

pop <- makePop(NPdata = NPex$NPdata)