Generate a sparse_pk object

Generate a sparse_pk object

Usage

as_sparse_pk(conc, time, subject)

Arguments

conc

Measured concentrations

time

Time of the measurement of the concentrations

subject

Subject identifiers (may be any class; may not be null). A missing subject marks an imputed concentration (such as the zero that the start_conc0 imputation adds at the start of an interval): a time where every subject is missing has a known concentration, which enters sparse estimates but not their variance.

Value

A sparse_pk object which is a list of lists. The inner lists have elements named: "time", The time of measurement; "conc", The concentration measured; "subject", The subject identifiers; "imputed", Whether the concentration at that time is imputed (known). The object will usually be modified by future functions to add more named elements to the inner list.

See also

Other Sparse Methods: 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(), sparse_mean(), summary.PKNCAresults_sparse_bootstrap()