PKNCA_impute_method: Methods for imputation of data with PKNCA

In PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis

Methods for imputation of data with PKNCA

Description

Methods for imputation of data with PKNCA

Usage

PKNCA_impute_method_start_conc0(conc, time, start = 0, ..., options = list())

PKNCA_impute_method_start_cmin(conc, time, start, end, ..., options = list())

PKNCA_impute_method_start_predose(
  conc,
  time,
  start,
  end,
  ...,
  max_shift = NA_real_,
  options = list()
)

Arguments

conc	Concentration measured
time	Time of concentration measurement (must be monotonically increasing and the same length as the concentration data)
start, end	The start and end of the interval
...	ignored
options	List of changes to the default PKNCA.options for calculations.
max_shift	The maximum amount of time to shift a concentration forward (defaults to 5% of the interval duration, i.e. 0.05*(end - start))

Value

A data.frame with one column named conc with imputed concentrations and one column named time with the times.

Functions

• PKNCA_impute_method_start_conc0(): Add a new concentration of 0 at the start time, even if a nonzero concentration exists at that time (usually used with single-dose data)

• PKNCA_impute_method_start_cmin(): Add a new concentration of the minimum during the interval at the start time (usually used with multiple-dose data)

• PKNCA_impute_method_start_predose(): Shift a predose concentration to become the time zero concentration (only if a time zero concentration does not exist)

PKNCA documentation built on April 30, 2023, 1:08 a.m.