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)