A description of Rode2 supported residual errors
Format
A data frame with 6 columns and 183 rows
- Error model
A description of the type of residual error
- Functional Form
For additive and proportional what functional form is used
- Transformation
The type of transformation that is done on the DV and the prediction
- code
Example code for the residual error type
- addProp
The type of add+prop residual error default that would be equivalent
- lhs
what the left handed side of the specification represents, either a response variable, or a compartment specification
References
The transformation-based and autocorrelated (ar(), AR(1)) residual
error models follow Karlsson MO, Beal SL, Sheiner LB. Three new residual
error models for population PK/PD analyses. J Pharmacokinet Biopharm.
1995;23(6):651-672. doi:10.1007/BF02353466.
Examples
head(rxResidualError)
#> Error model Functional Form Transformation
#> 1 constant None
#> 2 proportional None
#> 3 power None
#> 4 additive+proportional combined1 None
#> 5 additive+proportional combined2 None
#> 6 additive+power combined1 None
#> code addProp
#> 1 var ~ add(add.sd)
#> 2 var ~ prop(prop.sd)
#> 3 var ~ pow(pow.sd, exponent)
#> 4 var ~ add(add.sd) + prop(prop.sd) + combined1() addProp=1
#> 5 var ~ add(add.sd) + prop(prop.sd) + combined2() addProp=2
#> 6 var ~ add(add.sd) + pow(pow.sd, exponent) + combined1() addProp=1
#> lhs
#> 1 response variable
#> 2 response variable
#> 3 response variable
#> 4 response variable
#> 5 response variable
#> 6 response variable