pk.calc.sparse_auc: Calculate AUC and related parameters using sparse NCA methods

In PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis

Calculate AUC and related parameters using sparse NCA methods

Description

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()

PKNCA documentation built on Aug. 21, 2025, 6 p.m.