fmrs.gendata method
Description
Generates a data set from Finite Mixture of AFT regression models or Finite Mixture of Regression models under the specified setting.
Usage
1 2 3 4 5  fmrs.gendata(nObs, nComp, nCov, coeff, dispersion, mixProp, rho, umax, ...)
## S4 method for signature 'ANY'
fmrs.gendata(nObs, nComp, nCov, coeff, dispersion, mixProp, rho,
umax, disFamily = "lnorm")

Arguments
nObs 
A numeric value represents sample size 
nComp 
A numeric value represents the order mixture in 
nCov 
A numeric value represents the number of covariates in design matrix 
coeff 
A vector of all regression coefficients including
intercepts. It must be a vector of length

dispersion 
A vector of positive values for dispersion parameters of
subdistributions in 
mixProp 
A vector of mixing proportions which their sum must be one 
rho 
A numeric value in [1, 1] which represents the correlation between covariates of design matrix 
umax 
A numeric value represents the upper bound in Uniform distribution for censoring 
... 
Other possible options 
disFamily 
A subdistribution family. The options
are 
Value
A list including reponse, covariates and cenroing variables
Author(s)
Farhad Shokoohi <shokoohi@icloud.com>
See Also
Other lnorm..norm..weibull: fmrs.mle
,
fmrs.tunsel
, fmrs.varsel
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  set.seed(1980)
nComp = 2
nCov = 10
nObs = 500
REP = 500
dispersion = c(1, 1)
mixProp = c(0.4, 0.6)
rho = 0.5
coeff1 = c( 2, 2, 1, 2, 1, 2, 0, 0, 0, 0, 0)
coeff2 = c(1, 1, 1, 2, 0, 0, 0, 0, 1, 2, 2)
umax = 40
dat < fmrs.gendata(nObs = nObs, nComp = nComp, nCov = nCov,
coeff = c(coeff1, coeff2), dispersion = dispersion,
mixProp =mixProp, rho = rho, umax = umax,
disFamily = "lnorm")
