nmObjHandleModelObject: Handle Model Object

In nlmixr2est: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines

Handle Model Object

Description

Handle Model Object

Usage

nmObjHandleModelObject(model, env)

## S3 method for class 'saemModelList'
nmObjHandleModelObject(model, env)

## S3 method for class 'foceiModelList'
nmObjHandleModelObject(model, env)

## Default S3 method:
nmObjHandleModelObject(model, env)

Arguments

model

model list should have at least: - 'predOnly' – this is the prediction model with all the left handed equations added so they will be added the table. The model should have 'rx_pred_', the model based prediction, as the first defined lhs component. The second component should be 'rx_r_', the variance of the prediction. These variables may change based on distribution type. In additional all interesting calculated variables should be included. - 'predNoLhs' – This is the prediction model. It only has the prediction and no left handed equations.

env

Environment for the fit information

Value

This returns the '$model' object for a fit. It is a s3 method because it may be different between different model types

nlmixr2est documentation built on Oct. 30, 2024, 9:23 a.m.