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 2.37-7 Index]