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Adjust doses to achieve a target metric using MAP Bayesian estimation.

map_adjust_dose.Rd

Given a set of levels and a model definition, performs MAP Bayesian estimation of individual PK/PD parameters, then finds the appropriate dose to achieve the specified PK/PD target and updates the individual's regimen accordingly.

Usage

map_adjust_dose(
  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) and add (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

Value

Returns a named list: regimen: the updated regimen; additional_info: the MAP parameter estimates