## S3 method for class 'crr'
summary(object, conf.int = 0.95, digits =
max(options()$digits - 5, 2), ...)
## S3 method for class 'summary.crr'
print(x, digits = max(options()$digits - 4, 3), ...)
Arguments
object
An object of class crr (output from the crr function)
conf.int
the level for a two-sided confidence interval on the
coeficients. Default is 0.95.
digits
In summary.crr, digits determines the number of
significant digits retained in the p-values. In
print.summary.crr,
digits sets the values of the digits option for printing
the output.
...
Included for compatibility with the generic functions. Not
currently used.
x
An object of class summary.crr (output from the summary
method for crr)
Details
The summary method calculates the standard errors, subdistribution
hazard ratios z-scores, p-values, and confidence intervals on the
hazard ratios. The print method prints a fairly standard format
tabular summary of the results.
The pseudo likelihood ratio test in the printed output is based on the
difference in the objective function at the global null and at the
final estimates. Since this objective function is not a true
likelihood, this test statistic is not asymptotically chi-square.
Value
summary.crr returns a list of class summary.crr, which
contains components
call
The call to crr
converged
TRUE if the iterative algorithm converged
n
The number of observations used in fitting the model
n.missing
The number of observations removed by crr
from the input data due to missing values
loglik
The value of the negative of the objective function
(the pseudo log likelihood at convergence
coef
A matrix giving the estimated coefficients, hazard
ratios, standard errors, z-scores, and p-values
conf.int
A matrix giving the estimated hazard ratios, inverse
hazard ratios and lower and upper confidence limits on the hazard ratios
logtest
Twice the difference in log pseudo likelihood values
Author(s)
The summary and print.summary methods were provided by Luca Scrucca