run_iivsearch function

run_iivsearch

Run IIVsearch tool. For more details, see :ref:iivsearch.

run_iivsearch(
  algorithm = "top_down_exhaustive",
  iiv_strategy = "no_add",
  rank_type = "bic",
  linearize = FALSE,
  cutoff = NULL,
  results = NULL,
  model = NULL,
  keep = c("CL"),
  strictness = "minimization_successful or (rounding_errors and sigdigs>=0.1)",
  correlation_algorithm = NULL,
  E_p = NULL,
  E_q = NULL,
  ...
)

Arguments

• algorithm: (str) Which algorithm to run when determining number of IIVs.
• iiv_strategy: (str) If/how IIV should be added to start model. Default is 'no_add'.
• rank_type: (str) Which ranking type should be used. Default is BIC.
• linearize: (logical) Wheter or not use linearization when running the tool.
• cutoff: (numeric (optional)) Cutoff for which value of the ranking function that is considered significant. Default is NULL (all models will be ranked)
• results: (ModelfitResults (optional)) Results for model
• model: (Model (optional)) Pharmpy model
• keep: (array(str) (optional)) List of IIVs to keep. Default is "CL"
• strictness: (str (optional)) Strictness criteria
• correlation_algorithm: (str (optional)) Which algorithm to run for the determining block structure of added IIVs. If NULL, the algorithm is determined based on the 'algorithm' argument
• E_p: (numeric or str (optional)) Expected number of predictors for diagonal elements (used for mBIC). Must be set when using mBIC and when the argument 'algorithm' is not 'skip'
• E_q: (numeric or str (optional)) Expected number of predictors for off-diagonal elements (used for mBIC). Must be set when using mBIC and when the argument correlation_algorithm is not skip or Non
• ...: Arguments to pass to tool

Returns

(IIVSearchResults) IIVsearch tool result object

Examples

## Not run:

model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
run_iivsearch('td_brute_force', results=results, model=model)
## End(Not run)