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 2.20

Index]