predict.pkmod: Predict method for pkmod objects

In jarretrt/tci: Target Controlled Infusion (TCI)

Predict method for pkmod objects

Description

Predict concentrations from a pkmod object - can be a user defined function

Usage

## S3 method for class 'pkmod'
predict(object, inf, tms, return_times = FALSE, ...)

Arguments

object	An object with class pkmod.
inf	A matrix with columns "begin","end","inf_rate" indicating when infusions should be administered. Can be created by 'inf_manual' or 'inf_tci'.
tms	Times at which to calculate predicted concentrations.
return_times	Logical. Should prediction times be returned along with responses? Defaults to FALSE.
...	List or vector of values to be passed on to update.pkmod.

Value

Matrix of predicted concentrations associated with a pkmod object and and infusion schedule.

Examples

# dosing schedule
dose <- inf_manual(inf_tms = c(0,0.5,4,4.5,10), inf_rate = c(100,0,80,0,0))
# pkmod object
my_mod <- pkmod(pars_pk = c(CL = 15, V1 = 10, Q2 = 10, V2 = 20))
# predict at specific times
predict(my_mod, inf = dose, tms = c(1.5,2.5,3))
# predict with an Emax PD function
my_mod_pd <- pkmod(pars_pk = c(v1 = 8.995, v2 = 17.297, v3 = 120.963, cl = 1.382,
q2 = 0.919, q3 = 0.609, ke0 = 1.289),
pars_pd = c(c50 = 2.8, gamma = 1.47, gamma2 = 1.89, e0 = 93, emx = 93),
pdfn = emax, pdinv = emax_inv, ecmpt = 4)
predict(my_mod_pd, inf = dose, tms = c(1.5,2.5,3))
# predict with a subset of new PK-PD parameters
predict(my_mod_pd, inf = dose, tms = c(1.5,2.5,3), pars_pk = c(ke0 = 0.8),
pars_pd = c(c50 = 2, e0 = 100))

jarretrt/tci documentation built on Jan. 26, 2023, 3:37 p.m.