This building block declares a first-order absorption with zero-order delay component for a pharmacokinetic model.
pk_absorption_fo_zo( prm_mat = prm_log_normal("mat", median = 0.5, var_log = 0.1), prm_mdt = prm_log_normal("mdt", median = 0.5, var_log = 0.1) )
| prm_mat | Parameter model for the mean absorption time (MAT) |
|---|---|
| prm_mdt | Parameter model for the mean delay time (MDT) |
A building block of type 'pk_component'
PK components can be added to a pk_model and exist in three different types: absorption, distribution, and elimination. The absorption component is optional, distribution and elimination are not and need to be added for the PK model to be valid.
A PK model can only have one component of each type and adding a component with an already existing type will replace the previous definition. For example, the distribution component will be a two compartment model in the following snippet:
pkm <- pk_model() + pk_absorption_fo() + pk_distribution_1cmp() + pk_distribution_2cmp() + pk_elimination_linear() + obs_additive(conc~C["central"]) pkm
All PK component functions allow the specification of the parameter
model via their arguments. Arguments that refer to a parameter start
with the prefix prm_. The default parameter model can be deduced from
the default arguments in the usage section of the help entry. The
parameter name, specified via the name= argument of the parameter
model building block allows the renaming of the model parameters.
For example, the parameter prm_vc= refers to the central volume of
distribution parameter in the one compartment distribution PK component
and the default parameter model is a log-normal distribution. The
following code block specifies a normal distribution parameter model and
names the parameter v:
pk_distribution_1cmp( prm_vc = prm_normal("v", mean = 50, var = 25) )
pk_model() for the creation of PK models
Other absorption components:
pk_absorption_fo_lag(),
pk_absorption_fo_transit(),
pk_absorption_fo(),
pk_absorption_zo_lag(),
pk_absorption_zo()