Get MAP Bayesian parameters — simulate

A light wrapper around PKPDmap::get_map_estimates and PKPDmap::create_iov_object. For more fine-grained control, use PKPDmap functions directly.

Usage

simulate_fit(est_model, parameters, omega, ruv, tdms, covariates, regimen, ...)

Arguments

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).
tdms: observations to be included in MAP estimates
covariates: named list of PKPDsim covariates
regimen: PKPDsim regimen object
...: arguments passed on to PKPDmap::get_map_estimates

Value

named list of individual PK parameter estimates

Details

MAP Bayesian fits sometimes fail when simulated values are very unlikely. To prevent a long simulation from stalling, fit is wrapped in a tryCatch, and NULL is returned for appropriate processing outside the function.