vs.sim: Data simulation under the variable selection model

In javirudolph/StabilityToolkit: Statistical inference for bacterial stability assays

Description

Data simulation under the variable selection model

Usage

vs.sim(
  lam = 0.001533,
  mu = 0.011666,
  tausq = 0.158333,
  days,
  x0 = 0.0066,
  gen = 10,
  Dmat = matrix(50, ncol = nreps, nrow = ndays)
)

Arguments

lam	lambda parameter in the model
mu	mu parameter in the model
tausq	tau square parameter
days	number of days
x0	day zero
gen	number of generations per day
Dmat	starting point

Examples

ndays <-22
days.vec <- 0:(ndays-1)
nreps <- 3
D <- matrix(50, ncol=nreps, nrow=ndays)
varselsim <- vs.sim(lam=0.001533, mu=0.011666, tausq=0.158333, days=days.vec, x0 = 0.0066, gen=10, Dmat=D)

javirudolph/StabilityToolkit documentation built on Jan. 3, 2021, 11:29 p.m.