Compute NCA for multiple intervals

Usage

pk.nca.intervals(
  data_conc,
  data_dose,
  data_intervals,
  sparse,
  options,
  impute,
  verbose = FALSE
)

data_conc: A data.frame or tibble with standardized column names as output from prepare_PKNCAconc()
data_dose: A data.frame or tibble with standardized column names as output from prepare_PKNCAdose()
data_intervals: A data.frame or tibble with standardized column names as output from prepare_PKNCAintervals()
sparse: Should only sparse calculations be performed (TRUE) or only dense calculations (FALSE)?
options: List of changes to the default PKNCA options (see PKNCA.options())
impute: The column name in data_intervals to use for imputation
verbose: Indicate, by message(), the current state of calculation.

A data.frame with all NCA results