survreg.object {survival5} | R Documentation |
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
.
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 .
|
The following components must be included in a legitimate survreg
object.