cmprskQR (version 0.9.0)

summary.crrQR: Summary method for crrQR

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

...

included for compatibility with the generic functions. Not currently used.

x

an object of class summary.crrQR (output from the summary method for crrQR)

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

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.

See Also

crrQR

Examples

## see examples in the crrQR help file