smoothSurvReg.fit


       A covariate matrix for log(scale).
   


       A two- or three- column matrix with response. The last column
       indicate the type of censoring. See <code><a rd-options="survival" href="/link/Surv?package=smoothSurv&version=1.6&to=survival" data-mini-rdoc="survival::Surv">Surv</a></code> for details.
   


       A vector with possible offset term.
   

offset


       Correction term to the likelihood due to the log transformation of the response.
   

correctlik


       A list with components <code>beta</code>, <code>scale</code>, <code>ccoef</code>
       giving the initial values for the fitting process.
   

init


       A list returned by <code><a rd-options="" href="/link/smoothSurvReg.control?package=smoothSurv&version=1.6" data-mini-rdoc="smoothSurv::smoothSurvReg.control">smoothSurvReg.control</a></code>.
   

controlvals


       Indicator (TRUE/FALSE) indicating whether the log-scale is same for all observations 
       or whether it depends on covariates.
   

common.logscale


   Fit the survival regression model with smoothed error distribution.
   This function is not to be called by the user.


smooth

survival

Contains, as a main contribution, a function to fit
a regression model with possibly right, left or interval
censored observations and with the error distribution
expressed as a mixture of G-splines. Core part
of the computation is done in compiled C++ written
using the Scythe Statistical Library Version 0.3.

smoothSurvReg.fit: Work Function to Fit the Model Using 'smoothSurvReg'

Description

Usage

Arguments

Value