PKNCA_impute_method {PKNCA} | R Documentation |
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 |
max_shift |
The maximum amount of time to shift a concentration forward
(defaults to 5% of the interval duration, i.e. |
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)