Update an intervals data frame with user-selected parameters by study type

Update an intervals data frame with user-selected parameters by study type

Usage

update_main_intervals(
  data,
  parameter_selections,
  study_types_df,
  auc_data,
  impute = TRUE,
  blq_imputation_rule = NULL
)

Arguments

data

A PKNCAdata object containing intervals and dosing data.

parameter_selections

A named list of selected PKNCA parameters by study type.

study_types_df

A data frame mapping analysis profiles to their study type.

auc_data

A data frame containing partial AUC ranges.

impute

Logical indicating whether to impute start values for parameters.

blq_imputation_rule

A list defining the Below Limit of Quantification (BLQ) imputation rule using PKNCA format. The list should either contain three elements named: first, middle, and last or two elements named before.tmax and after.tmax. Each element can be a numeric value (substituting the BLQ value), or a string such as "drop" (ignores the value) or "keep" (keeps the value as 0). Default is NULL, which does not specify any BLQ imputation in any interval.

Value

An updated PKNCAdata object with parameter intervals based on user selections.