set_tmdd function

set_tmdd

Sets target mediated drug disposition

Implemented target mediated drug disposition (TMDD) models are:

• Full model
• Irreversible binding approximation (IB)
• Constant total receptor approximation (CR)
• Irreversible binding and constant total receptor approximation (CR+IB)
• Quasi steady-state approximation (QSS)
• Wagner
• Michaelis-Menten approximation (MMAPP)

set_tmdd(model, type, dv_types = NULL)

Arguments

• model: (Model) Pharmpy model
• type: (str) Type of TMDD model
• dv_types: (list(str=numeric) (optional)) Dictionary of DV types for TMDD models with multiple DVs (e.g. dv_types = list('drug' = 1, 'target'= 2)). Default is NULL which means that all observations are treated as drug observations. For dv = 1 the only allowed keys are 'drug' and 'drug_tot'. If no DV for drug is specified then (free) drug will have dv = 1.

Returns

(Model) Pharmpy model object

Examples

## Not run:

model <- load_example_model("pheno")
model <- set_tmdd(model, "full")
## End(Not run)