survreg.object {survival5}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.

Arguments

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.

COMPONENTS

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

See Also

survreg, lm


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