R: Generate Augmented pred/err RxODE model

.rxGenPred {RxODE} | R Documentation

## Generate Augmented pred/err RxODE model

### Description

Generate Augmented pred/err RxODE model

### Usage

    .rxGenPred(obj, predfn, errfn, init, addProp = c("combined2", "combined1"))

### Arguments

`obj` | RxODE object
`predfn` | Prediction function
`errfn` | Error function
`init` | Initialization parameters for scaling.
`addProp` | one of "combined1" and "combined2"; These are the two forms of additive+proportional errors supported by monolix/nonmem: combined1: transform(y)=transform(f)+(a+b*f^c)*eps combined2: transform(y)=transform(f)+(a^2+b^2*f^(2c))*eps

### Value

A list of (1) RxODE model variables augmented with pred/error information and (2) extra error variables created.

### Author(s)

Matthew L Fidler

[Package RxODE version 1.0.9 Index]