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Compute NCA for multiple intervals

Source: R/pk.calc.all.R
pk.nca.intervals.Rd

Compute NCA for multiple intervals

Usage

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

Arguments

data_conc

A data.frame or tibble with standardized column names as output from prepare_PKNCAconc(). With sparse PK this is the arithmetic-mean profile.

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()

options

List of changes to the default PKNCA options (see PKNCA.options())

impute

The column name in data_intervals to use for imputation

data_sparse_conc

For sparse PK, a data.frame or tibble of the pooled individual samples (including a subject column) as output from prepare_PKNCAconc(); NULL for dense PK

verbose

Indicate, by message(), the current state of calculation.

Value

A list with elements "dense" and "sparse", each a data.frame of the NCA results calculated from that concentration representation (or, when no calculation was possible at all, the warning condition saying why)