superposition {PKNCA} | R Documentation |
Compute noncompartmental superposition for repeated dosing
Description
Compute noncompartmental superposition for repeated dosing
Usage
superposition(conc, ...)
## S3 method for class 'PKNCAconc'
superposition(conc, ...)
## S3 method for class 'numeric'
superposition(
conc,
time,
dose.input = NULL,
tau,
dose.times = 0,
dose.amount,
n.tau = Inf,
options = list(),
lambda.z,
clast.pred = FALSE,
tlast,
additional.times = numeric(),
check.blq = TRUE,
method = NULL,
auc.type = "AUCinf",
steady.state.tol = 0.001,
...
)
Arguments
conc |
Measured concentrations |
... |
Additional arguments passed to the |
time |
Time of the measurement of the concentrations |
dose.input |
The dose given to generate the |
tau |
The dosing interval |
dose.times |
The time of dosing within the dosing interval. The
|
dose.amount |
The doses given for the output. Linear proportionality
will be used from the input to output if they are not equal. The length of
dose.amount must be either 1 or matching the length of |
n.tau |
The number of tau dosing intervals to simulate or |
options |
List of changes to the default PKNCA options (see
|
lambda.z |
The elimination rate (in units of inverse time) for extrapolation |
clast.pred |
To use predicted as opposed to observed Clast, either give the value for clast.pred here or set it to true (for automatic calculation from the half-life). |
tlast |
The time of last observed concentration above the limit of quantification. This is calculated if not provided. |
additional.times |
Times to include in the final outputs in addition to
the standard times (see details). All |
check.blq |
Must the first concentration measurement be below the limit of quantification? |
method |
The method for integration (one of 'lin up/log down', 'lin-log', or 'linear') |
auc.type |
The type of AUC to compute. Choices are 'AUCinf', 'AUClast', and 'AUCall'. |
steady.state.tol |
The tolerance for assessing if steady-state has been achieved (between 0 and 1, exclusive). |
Details
The returned superposition times will include all of the following
times: 0 (zero), dose.times
, time modulo tau
(shifting time
for each
dose time as well), additional.times
, and tau
.
Value
A data frame with columns named "conc" and "time".