Parametric Survival Model Object

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 inestimable coefficients.
parms the parameters of the model that are not coefficients of the X matrix. The first of these will always be log(sigma).
fixed a vector of the same length as parms, where 1 indicates a parameter that was fixed at its starting value and was not part of the iteration.
deviance minus twice the difference between the maximized log-likelihood under the fitted model and a saturated model. Similar to the residual sum of squares.
loglik the log-likelihood for the final model.
null.deviance the deviance corresponding to the model with only an itercept term, and with parms fixed at their final values.
dresiduals the deviance residuals.
var the final variance matrix, including both coefficients and free parameters.
family a 2 element character vector giving the name of the family and the link; mainly for printing purposes.

The object will also have the components of an glm object: linear predictors, fitted.values, residuals, effects, R, rank, assign, contrasts, weights, iter, residuals, fitted.values, call, terms and formula. See glm.object.

Description

This class of objects is returned by the `survreg' function to represent a fitted parametric survival model. Class `survreg' inherits from class `glm', since it is fit by iterative reweighted least squares; the object returned has all the components of a weighted least squares object.

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. The residuals, fitted values, coefficients and effects should be extracted by the generic functions of the same name, rather than by the "$" operator.

See Also

survreg, glm.object, lm.object.


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