pk.tss.monoexponential.individual: A helper function to estimate individual and single outputs...

In PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis

A helper function to estimate individual and single outputs for monoexponential time to steady-state.

Description

This function is not intended to be called directly. Please use pk.tss.monoexponential.

Usage

pk.tss.monoexponential.individual(
  data,
  output = c("individual", "single"),
  verbose = FALSE
)

Arguments

data	a data frame as prepared by pk.tss.data.prep(). It must contain at least columns for subject, time, conc, and tss.constant.
output	a character vector requesting the output types.
verbose	Show verbose output.

Details

If no model converges, then the tss.monoexponential.single and/or tss.monoexponential.individual column will be set to NA.

Value

A data frame with either one row (if population output is provided) or one row per subject (if popind is provided). The columns will be named tss.monoexponential.population and/or tss.monoexponential.popind.

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