PKNCA_impute_method {PKNCA}

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)