summary.crrQR: Summary method for crrQR

In cmprskQR: Analysis of Competing Risks Using Quantile Regressions

Description

generate and print summaries of crrQR output

Usage

## S3 method for class 'crrQR'
summary(object, conf.int = 0.95, digits =
max(options()$digits - 5, 2), ...)

## S3 method for class 'summary.crrQR'
print(x, digits=max(options()$digits - 4, 3), ...)

Arguments

object	an object of class crrQR (output from the crrQR function)
conf.int	the level for a two-sided confidence interval on the coefficients. Default is 0.95.
digits	in summary.crrQR, digits determines the number of significant digits retained in the p-values. In print.summary.crrQR, 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.crrQR (output from the summary method for crrQR)

Details

The summary method calculates the average effects, the variances and p-values of the test on the effect beeing 0. Furthermore it performs a test for constant coefficients. The print method prints a fairly standard format tabular summary of the results.

Value

summary.crrQR returns a list of class summary.crrQR, which contains components

call	the call to crr
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
ave.eff	vector of average effects of covariates
var.ave.eff	vector of corresponding variances
p.signf.test	p-values for testing average effect=0
cnst.test	scores of test on constant effect
var.cnst.test	variances of the score
p.cnst.test	p-values for the test

See Also

crrQR

Examples

## see examples in the crrQR help file

cmprskQR documentation built on Sept. 15, 2019, 5:02 p.m.