pk3cmt: pk3cmt RxODE model

In nlmixrdevelopment/rxModels: RxODE model library

Description

pk3cmt RxODE model

Usage

pk3cmt

Format

An RxODE model with 22 parameters, 2 ODE states, and 1 calc vars.

Parameters (pk3cmt$params)

popCl

Population Clearance value (default=1)

popV

Population Volume of distribution (default=20)

popKa

Population Absorption coefficient (default=1)

popVp

Population Peripheral Volume of Distribution #1 (default=10)

popVp2

Population Peripheral Volume of Distribution #2 (default=100)

popQ

Population Inter-Compartmental Clearance of Compartment #1 (default=2)

popQ2

Population Inter-Compartmental Clearance of Compartment #2 (default=2)

bsvCl

Between Subject Variability for Clearance (default=0)

bsvV

Between Subject Variability for Volume (default=0)

bsvKa

Between Subject Variability for Ka (default=0)

bsvVp

Between Subject Variability for Peripheral Volume of Distribution #1 (default=0)

bsvVp2

Between Subject Variability for Peripheral Volume for Compartment #2 (default=0)

bsvQ

Between Subject Variability for Inter-compartmental Clearance #1 (default=0)

bsvQ2

Between Subject Variability for Inter-compartmental Clearance #2 (default=0)

popLagDepot

Population Value for Lagged doses on Central Compartment (default=0)

popLagCentral

Population Value for Lagged doses on Central compartment (default=0)

popRateCentral

Population Value for modeled rates (default=0)

popDurCentral

Population Value for modeled duration (default=0)

bsvLagDepot

Between Subject variability for depot (default=0)

bsvLagCentral

Between Subject Variability for Central Lag-time (default=0)

bsvRateCentral

Between Subject Variability for Central Rate (default=0)

bsvDurCentral

Between Subject Variability for Central Duration (default=0)

State pk3cmt$state

depot

Depot Compartment (=1)

central

Central compartment (=2)

Calculated Variables pk3cmt$lhs

cp

Concentration in the plasma

See Also

eventTable, et, rxSolve, RxODE

Examples

## To see the model code:
summary(pk3cmt)

pk3cmt %>% solve(et(timeUnits="hr") %>% et(amt=100)) %>% plot # Oral
pk3cmt %>% solve(et(amt=100,cmt=central,timeUnits="hr")) %>% plot # IV

nlmixrdevelopment/rxModels documentation built on March 26, 2021, 9:17 a.m.