print.lmsqreg.fit: Print information on a quantile regression

In lmsqreg: LMS (Cole-Green Stat in Med 1992 quantile regression)

Description

Print information on a quantile regression

Usage

print.lmsqreg.fit(x,...)

Arguments

x	An object of class "lmsqreg.fit"

Details

Nominal and actual percentiles are compared; the latter are computed by linear interpolation between successive xtarget values across the range of x. The adequacy of the transformations is also examined within ranges of the independent variable: the Z scores from the fitted model are subjected to the Kolmogorov Smirnov test for standard normality.

Side Effects

Prints information on convergence and quality of an lmsqreg.fit.

Version:

Document version 2.4 97/03/26 /usr16/stdevs/stdev0f/SLIBS/lmsqreg.dev.obs/SCCS/s.print.lmsqreg.fit.d

Examples

#lms quantile regression, version 2.4, fit date Tue Nov 12 19:25:55 EST 1996
#
#Dependent variable: jjj , independent variable: nnn 
#The fit converged with EDF=( 3,5,3 ), PL= 299.045 
#                                                             
#  nominal percentile 0.050 0.100 0.25 0.500 0.75 0.900 0.950
#estimated percentile 0.053 0.113 0.25 0.503 0.73 0.887 0.947
# 
#Shapiro Wilk tests: (intervals in nnn //p-values)
#  9.999+ thru 11.974 11.974+ thru 14.257 14.257+ thru 16.251 
#               0.239               0.334               0.568
# 16.251+ thru 17.915 17.915+ thru 19.965 Overall 
#               0.174               0.191   0.007
# 
#t tests: (intervals in nnn //p-values)
#  9.999+ thru 11.974 11.974+ thru 14.257 14.257+ thru 16.251 
#               0.185               0.025               0.548
# 16.251+ thru 17.915 17.915+ thru 19.965 Overall 
#               0.161               0.461   0.883
# 
#X2 tests (unit variance): (intervals in nnn //p-values)
#  9.999+ thru 11.974 11.974+ thru 14.257 14.257+ thru 16.251 
#               0.475               0.158               0.922
# 16.251+ thru 17.915 17.915+ thru 19.965 Overall 
#               0.266               0.808   0.809
#

lmsqreg documentation built on May 2, 2019, 6:47 p.m.