survreg.object           package:survival           R Documentation

Parametric Survival Model Object

Description:

     This class of objects is returned by the 'survreg' function to
     represent a fitted parametric survival model. Objects of this
     class have methods for the functions 'print', 'summary',
     'predict', and 'residuals'.

COMPONENTS:

     The following components must be included in a legitimate
     'survreg' object.

     coefficients the coefficients of the 'linear.predictors', which
          multiply  the columns of the model matrix. It does not
          include the estimate of error (sigma). The names of the
          coefficients are the names of the single-degree-of-freedom
          effects (the columns of the model matrix). If the model is
          over-determined there will be missing values in the
          coefficients corresponding to non-estimable coefficients.

     icoef coefficients of the baseline model, which will contain the
          intercept and log(scale), or mulitple scale factors for a
          stratified model.

     var the variance-covariance matrix for the parameters, including
          the log(scale) parameter(s).

     loglik a vector of length 2, containing the log-likelihood for the
          baseline and full models. 

     iter the number of iterations required

     linear.predictors the linear predictor for each subject.

     df the degrees of freedom for the final model.  For a penalized
          model this will be a vector with one element per term.

     scale the scale factor(s), with length equal to the number of
          strata.

     idf degrees of freedom for the initial model.

     means a vector of the column means of the coefficient matrix.

     dist the distribution used in the fit.

          The object will also have the following components found in 
          other model results (some are optional): 'linear predictors',
          'weights', 'x', 'y', 'model',  'call', 'terms' and 'formula'.
          See 'lm'.

See Also:

     'survreg', 'lm'

