run_estmethod {pharmr}

run_estmethod

Description

Run estmethod tool.

Usage

run_estmethod(
  algorithm,
  methods = NULL,
  solvers = NULL,
  parameter_uncertainty_methods = NULL,
  compare_ofv = TRUE,
  results = NULL,
  model = NULL,
  ...
)

Arguments

algorithm

(str) The algorithm to use (can be 'exhaustive', 'exhaustive_with_update' or 'exhaustive_only_eval')

methods

(array(str) or str (optional)) List of estimation methods to test. Can be specified as 'all', a vector of estimation methods, or NULL (to not test any estimation method)

solvers

(array(str) or str (optional)) List of solvers to test. Can be specified as 'all', a vector of solvers, or NULL (to not test any solver)

parameter_uncertainty_methods

(array(str) or str (optional)) List of parameter uncertainty methods to test. Can be specified as 'all', a vector of uncertainty methods, or NULL (to not evaluate any uncertainty)

compare_ofv

(logical) Whether to compare the OFV between candidates. Comparison is made by evaluating using IMP

results

(ModelfitResults (optional)) Results for model

model

(Model (optional)) Pharmpy mode

...

Arguments to pass to tool

Value

(EstMethodResults) Estmethod tool result object

Examples

## Not run: 
model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
methods <- c('IMP', 'SAEM')
parameter_uncertainty_methods <- NULL
run_estmethod(
 'reduced', methods=methods, solvers='all',
 parameter_uncertainty_methods=parameter_uncertainty_methods, results=results, model=model
)

## End(Not run)