map_estimate: MAP estimation for model ETAs for an individual

In onwhenrdy/mapstimator: Maximum a posteriori estimator a la NONMEM

Description

MAP estimation for model ETAs for an individual

Usage

map_estimate(
  individual_df,
  model,
  event_table,
  inits,
  THETA,
  OMEGA,
  SIGMA,
  iCov = NULL,
  error_model = c("proportional", "additive"),
  fit_options = list(method = "L-BFGS-B"),
  ...
)

Arguments

individual_df	NONMEM dataframe with measured data of the individual for the estimation
model	RxODE model
event_table	RxODE event table
inits	a vector of initial values of the state variables (e.g., amounts in each compartment), and the order in this vector must be the same as the state variables (e.g., PK/PD compartments)#'
THETA	values of structural THETA parameters of the model.
OMEGA	variance of intersubject errors. Must be a matrix or vector.
SIGMA	variance
iCov	dataframe of individual time-independent covariates or NULL if not used
error_model	The residual error model/function
fit_options	Options for the optim fitting routine
...	additonal parameters for RxODE 'solve' function

Value

List with optimized parameters, hessian, information about convergence and standard errors of the fit.

onwhenrdy/mapstimator documentation built on July 8, 2020, 10:32 p.m.