simulateBealModelFixedEffects {BLOQ}

R Documentation

simulate data from Beal model with fixed effects

Description

function to generate data from a Beal model with fixed effects

Usage

simulateBealModelFixedEffects(
  numSubjects,
  clearance,
  volumeOfDistribution,
  dose,
  timePoints
)

Arguments

numSubjects	scalar, number of subject which should be generated
clearance	scalar, clearance
volumeOfDistribution	scalar, volume of distribution
dose	scalar, dose
timePoints	vector of time points

Details

The model used to generate data at time t is as follows

y(t)=C(t)\exp(e(t)),

where C(t), the PK-model, is defined as follows:

C(t) = \frac{\mathrm{dose}}{V_d} \exp{(CL.t)},

with V_d the volume of distribution and CL as clearance. The error model is consdiered as e(t) \sim N(0, h(t)), with:

h(t) = 0.03 + 0.165 \frac{C(t)^{-1}}{C(1.5)^{-1} + C(t)^{-1}}

Value

generated sample with numSubjects as the number of rows and length of timePoints as the number of columns

Author(s)

Vahid Nassiri, Helen Yvette Barnett

See Also

Beal S. L., Ways to fit a PK model with some data below the quantification limit, Journal of Pharmacokinetics and Pharmacodynamics, 2001;28(5):481–504.

Examples

set.seed(111)
simulateBealModelFixedEffects(10, 0.693,
+ 		1, 1, seq(0.5,3,0.5))

---