TML.censored.control.ref {RobustAFT} | R Documentation |
Control parameters for the refinement IRLS algorithm of the TML.censored initial S-estimates
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.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)
Arguments
maxit.sigma |
Maximum number of iterations in scale step. |
tol.sigma |
Tolerance for sigma in scale step. |
maxit.Beta |
Maximum number of iterations in coefficient step. |
tol.Beta |
Tolerance for coefficients in coefficient step. |
Maxit.S |
Maximum number of iterations in global cycle. |
tol.S.sigma |
Tolerance for sigma in global cycle. |
tol.S.Beta |
Tolerance for coefficients in global cycle. |
alg.sigma |
Type of algorithm in scale step:
|
nitmon |
Set to TRUE if iteration monitoring is desired. Default=FALSE. |
Value
A list with components named as the arguments.
See Also
TML.censored
,
TML.censored.control.S
,
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.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.ref=ctrol.ref,control.tml=ctrol.tml)
summary(WML)
## End(Not run)
[Package RobustAFT version 1.4-7 Index]