This function updates a previously prepared PKNCAdata object
based on user selections for method, analyte, dose, specimen, and parameters.
Usage
PKNCA_update_data_object(
adnca_data,
method,
selected_analytes,
selected_profile,
selected_pcspec,
should_impute_c0 = TRUE,
hl_adj_rules = NULL,
exclusion_list = NULL,
keep_interval_cols = NULL
)Arguments
- adnca_data
A reactive PKNCAdata object
- method
NCA calculation method selection
- selected_analytes
User selected analytes
- selected_profile
User selected dose numbers/profiles
- selected_pcspec
User selected specimen
- should_impute_c0
Logical indicating whether to impute start concentration values
- hl_adj_rules
A data frame containing half-life adjustment rules. It must contain group columns and rule specification columns; TYPE: (Inclusion, Exclusion), RANGE: (start-end).
- exclusion_list
List of exclusion reasons and row indices to apply to the concentration data. Each item in the list should have:
reason: character string with the exclusion reason (e.g., "Vomiting")
rows: integer vector of row indices to apply the exclusion to
- keep_interval_cols
Optional character vector of additional columns to keep in the intervals data frame and when the NCA is run (pk.nca) also in the results
Details
Step 1: Update units in the PKNCAdata object
ensuring unique analytes have their unique units
Step 2: Set PKNCAoptions for NCA calculation
Step 3: Format intervals using format_pkncadata_intervals()
Step 4: Apply filtering based on user selections and partial aucs
Step 5: Impute start values if requested
Step 6: Indicate points excluded / selected manually for half-life
Note*: The function assumes that the adnca_data object has been
created using the PKNCA_create_data_object() function.