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

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)

Value

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

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).

See also

Other Sparse Methods: as_sparse_pk(), pk.calc.aucinf.obs_sparse(), pk.calc.aucivlast_sparse(), pk.calc.auclast_sparse(), pk.calc.sparse_auc(), pk.calc.sparse_aumc(), sparse_auc_weight_linear(), sparse_bootstrap(), summary.PKNCAresults_sparse_bootstrap()