TML.censored.control.S {RobustAFT}

Control parameters for the computation of the initial S estimates in TML.censored

Description

Auxiliary function for TML.censored. Typically only used internally by TML.censored, but may be used to provide a control argument. This function provides default values.

Usage

TML.censored.control.S(N=100, q=6, sigma0=1, MAXIT=100, TOL=0.01, seed=153)

Arguments

N

Number of subsamples.

q

Subsample size.

sigma0

Initial value of scale.

MAXIT

Maximum number of iterations for solving the equation for scale.

TOL

Relative tolerance for scale.

seed

Seed for the random number generator.

Value

A list with components named as the arguments.

See Also

TML.censored, TML.censored.control.ref, TML.censored.control.tml

Examples

     ### In the example(TML.censored), the control argument for the refinement 
     ### algorithm can be built using this function:

	 ## Not run: 
     data(MCI)
     attach(MCI)
     
     # Robust Accelerated Failure Time Regression with Gaussian errors
     ctrol.S   <- list(N=150, q=5, sigma0=1, MAXIT=100, TOL=0.001,seed=123)

     ctrol.ref <- TML.censored.control.ref(maxit.sigma=2,tol.sigma=0.0001,
               maxit.Beta=2,tol.Beta=0.0001, Maxit.S=50, tol.S.sigma=0.001, 
               tol.S.Beta=0.001,alg.sigma=1,nitmon=FALSE)

     ctrol.tml <- list(maxit.sigma=50,tol.sigma=0.0001,maxit.Beta=50,
               tol.Beta=0.0001, Maxit.TML=50, tol.TML.sigma=0.001, 
               tol.TML.Beta=0.001, alg.sigma=1,nitmon=FALSE)
     
     WML       <- TML.censored(log(LOS)~TypAdm*Age,data=MCI,delta=Dest,
               otp="adaptive",control.S=ctrol.S,control.ref=ctrol.ref,
               control.tml=ctrol.tml)

     summary(WML)

## End(Not run)