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 multiple 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.

weights

  included for a weighted 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 3.2-7 Index]