# R: Parametric Survival Model Object

survreg.object {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`

[Package survival version 2.32 Index]