calc_ss_1cmt {pmxTools} | R Documentation |
Calculate C(t) for a 1-compartment linear model at steady-state
Description
Calculate C(t) for a 1-compartment linear model at steady-state
Usage
calc_ss_1cmt(tad, tau, dose, dur = NULL, tinf = NULL, ...)
calc_ss_1cmt_linear_bolus(tad, tau, dose, ...)
calc_ss_1cmt_linear_infusion(tad, tau, dose, tinf, ...)
calc_ss_1cmt_linear_oral_0(tad, tau, dose, dur, ...)
calc_ss_1cmt_linear_oral_0_lag(tad, tau, dose, dur, ...)
calc_ss_1cmt_linear_oral_1_lag(tad, tau, dose, ...)
calc_ss_1cmt_linear_oral_1(tad, tau, dose, ...)
Arguments
tad |
Time after dose (h) |
tau |
Dosing interval (h) |
dose |
Dose |
dur |
Duration of zero-order absorption (h) |
tinf |
Duration of infusion (h) |
... |
Passed to 'calc_derived_1cpt()' |
Value
Concentration of drug at requested time (t
) after a single dose, given provided set of parameters and variables.
Functions
-
calc_ss_1cmt_linear_bolus()
: Calculate C(t) for a 1-compartment linear model with IV bolus dosing at steady state -
calc_ss_1cmt_linear_infusion()
: Calculate C(t) for a 1-compartment linear model with infusion at steady state -
calc_ss_1cmt_linear_oral_0()
: Calculate C(t) for a 1-compartment linear model with zero-order oral absorption at steady state -
calc_ss_1cmt_linear_oral_0_lag()
: Calculate C(t) for a 1-compartment linear model with zero-order oral absorption at steady state, with lag time -
calc_ss_1cmt_linear_oral_1_lag()
: Calculate C(t) for a 1-compartment linear model with first-order oral absorption at steady state, with lag time -
calc_ss_1cmt_linear_oral_1()
: Calculate C(t) for a 1-compartment linear model with first-order oral absorption at steady state
Author(s)
Justin Wilkins, justin.wilkins@occams.com
Bill Denney, wdenney@humanpredictions.com
References
Bertrand J & Mentre F (2008). Mathematical Expressions of the Pharmacokinetic and Pharmacodynamic Models implemented in the Monolix software. http://lixoft.com/wp-content/uploads/2016/03/PKPDlibrary.pdf
Rowland M, Tozer TN. Clinical Pharmacokinetics and Pharmacodynamics: Concepts and Applications (4th). Lippincott Williams & Wilkins, Philadelphia, 2010.
Examples
Ct <- calc_ss_1cmt_linear_bolus(t=0:24, CL=6, V=25, dose=600, tau=24)
Ct <- calc_ss_1cmt_linear_infusion(tad=0:36, CL=2, V=25, dose=600, tinf=1, tau=24)
Ct <- calc_ss_1cmt_linear_oral_0(tad=0:36, CL=2, V=25, dose=600, dur=1, tau=24)
Ct <- calc_ss_1cmt_linear_oral_0_lag(tad=0:36, CL=2, V=25, dose=600, dur=1, tau=24, tlag=1.5)
Ct <- calc_ss_1cmt_linear_oral_1_lag(tad=0:36, CL=2, V=25, dose=600,
ka=0.25, tlag=0.75, tau=24)
Ct <- calc_ss_1cmt_linear_oral_1(tad=0:36, CL=2, V=25, dose=600, ka=0.25, tau=24)