sparse_mean: Calculate the mean concentration at all time points for use...

In PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis

Calculate the mean concentration at all time points for use in sparse NCA calculations

Description

Choices for the method of calculation (the argument sparse_mean_method) are:

Usage

sparse_mean(
  sparse_pk,
  sparse_mean_method = c("arithmetic mean, <=50% BLQ", "arithmetic mean")
)

Arguments

sparse_pk	A sparse_pk object from as_sparse_pk()
sparse_mean_method	The method used to calculate the sparse mean (see details)

Details

"arithmetic mean"

Arithmetic mean (ignoring number of BLQ samples)

"arithmetic mean, <=50% BLQ"

If >= 50% of the measurements are BLQ, zero. Otherwise, the arithmetic mean of all samples (including the BLQ as zero).

Value

A vector the same length as sparse_pk with the mean concentration at each of those times.

See Also

Other Sparse Methods: as_sparse_pk(), pk.calc.sparse_auc(), sparse_auc_weight_linear()

PKNCA documentation built on June 22, 2024, 9:25 a.m.