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 = 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,
  ...
)
| 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). | 
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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