Adjust intervals to achieve a target metric using MAP Bayesian estimation by adapting the dosing interval
map_adjust_interval.RdGiven a set of levels and a model definition, performs MAP Bayesian estimation of individual PK/PD parameters, then finds the appropriate dosing interval to achieve the specified PK/PD target and updates the individual's regimen accordingly.
Usage
map_adjust_interval(
tdms,
est_model,
parameters,
omega,
ruv,
regimen,
covariates = NULL,
target_design,
dose_update,
grid = NULL,
...
)Arguments
- tdms
observations to be included in MAP estimates
- est_model
model used for estimation
- parameters
population parameters of estimation model
- omega
omega matrix of estimation model
- ruv
residual error distribution of estimation model, a named list with elements for
prop(proportional) andadd(additive).- regimen
PKPDsim regimen object
- covariates
named list of PKPDsim covariates
- target_design
object specifying target design, created using function
create_target_design()- dose_update
update dose from which dose?
- grid
vector specifying doses or intervals to use as test grid, Example:
seq(from = 50, to = 500, by = (500 - 50) / 10)- ...
arguments passed on to PKPDmap::get_map_estimates and/or PKPDsim::sim