summary.gcrq: Summarizing model fits for growth charts regression quantiles

In quantregGrowth: Growth Charts via Smooth Regression Quantiles with Automatic Smoothness Estimation and Additive Terms

Description

summary and print methods for class gcrq

Usage

## S3 method for class 'gcrq'
summary(object, type=c("sandw","boot"), digits = max(3, getOption("digits") - 3), 
    signif.stars =getOption("show.signif.stars"), ...)

Arguments

object	An object of class "gcrq".
type	Which covariance matrix should be used to compute the estimate standard errors? 'boot' means case-resampling bootstrap (see n.boot in gcrq()), 'sandw' mean via the sandwich formula.
digits	controls number of digits printed in output.
signif.stars	Should significance stars be printed?
...	further arguments.

Details

This method is at a preliminary stage. summary.gcrq returns some information on the fitted quantile curve at different probability values, such as the estimates, standard errors, values of check (objective) function values at solution. Currently there is no print.summary.gcrq method, so summary.gcrq itself prints results.

Author(s)

Vito M.R. Muggeo

See Also

gcrq

Examples

## see ?gcrq
##summary(o)

quantregGrowth documentation built on March 27, 2021, 9:06 a.m.