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Calculate AUC and related parameters using sparse NCA methods

Source: R/sparse.R
pk.calc.sparse_auc.Rd

The AUC is calculated as:

Usage

pk.calc.sparse_auc(
  conc,
  time,
  subject,
  method = NULL,
  auc.type = "AUClast",
  ...,
  options = list()
)

pk.calc.sparse_auclast(conc, time, subject, ..., options = list())

Arguments

conc

Measured concentrations

time

Time of the measurement of the concentrations

subject

Subject identifiers (may be any class; may not be null)

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'.

...

For functions other than pk.calc.auxc, these values are passed to pk.calc.auxc

options

List of changes to the default PKNCA options (see PKNCA.options())

Details

$$AUC=\sum\limits_{i} w_i \bar{C}_i$$

Where:

  • \(AUC\)is the estimated area under the concentration-time curve

  • \(w_i\)is the weight applied to the concentration at time i (related to the time which it affects, see sparse_auc_weight_linear())

  • \(\bar{C}_i\)is the average concentration at time i

Functions

  • pk.calc.sparse_auclast(): Compute the AUClast for sparse PK

See also

Other Sparse Methods: as_sparse_pk(), sparse_auc_weight_linear(), sparse_mean()