View source: R/superposition.R
superposition | R Documentation |
Compute noncompartmental superposition for repeated dosing
superposition(conc, ...)
## S3 method for class 'PKNCAconc'
superposition(conc, ...)
## S3 method for class 'numeric'
superposition(
conc,
time,
dose.input,
tau,
dose.times = 0,
dose.amount,
n.tau = Inf,
options = list(),
lambda.z,
clast.pred = FALSE,
tlast,
additional.times = numeric(),
check.blq = TRUE,
interp.method = NULL,
extrap.method = "AUCinf",
steady.state.tol = 0.001,
...
)
conc |
Concentration measured |
... |
Additional arguments passed to the |
time |
Time of concentration measurement |
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 |
The PKNCA.options to use for the calculation (passed
on to subsequent functions like |
lambda.z |
The elimination rate (from the half life calculation, used to extrapolate beyond the maximum time observed). |
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? |
interp.method |
See |
extrap.method |
See |
steady.state.tol |
The tolerance for assessing if steady-state has been achieved (between 0 and 1, exclusive). |
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
.
A data frame with columns named "conc" and "time".
interp.extrap.conc
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