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,
  conc.group,
  time.group,
  ...,
  max_shift = NA_real_,
  options = list()
)

Arguments

conc	Measured concentrations
time	Time of the measurement of the concentrations
start	The start time of the interval
...	ignored
options	List of changes to the default PKNCA options (see PKNCA.options())
end	The end time of the interval
conc.group	All concentrations measured for the group
time.group	Time of all concentrations measured for the group
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), if is.finite(end), and when is.infinite(end), defaults to 5% of the time from start to max(time))

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 June 22, 2024, 9:25 a.m.