[R] linear against nonlinear alternatives - quantile regression

[Frank Harrell]

Just to address a piece of this - in the case in which you are currently
focusing on only one quantile, the rms package can help by fitting
restricted cubic splines for covariate effects, and then run anova to test
for nonlinearity (sometimes a dubious practice because if you then remove
nonlinear terms you are mildly cheating).

require(rms)
f <- Rq(y ~ x1 + rcs(x2,4), tau=.25)
anova(f)  # tests associations and nonlinearity of x2

Frank

Julia Lira wrote:
> 
> Dear all,
> 
> I would like to know whether any specification test for linear against
> nonlinear model hypothesis has been implemented in R using the quantreg
> package. 
> 
> I could read papers concerning this issue, but they haven't been
> implemented at R. As far as I know, we only have two specification tests
> in this line: anova.rq and Khmaladze.test. The first one test equality and
> significance of the slopes across quantiles and the latter one test if the
> linear specification is model of location or location and scale shift. 
> 
> Do you have any suggestion?
> 
> Thanks a lot!
> 
> Best regards,
> 
> Julia
>  		 	   		  
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help@ mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 


-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context: http://r.789695.n4.nabble.com/linear-against-nonlinear-alternatives-quantile-regression-tp3993327p3993416.html
Sent from the R help mailing list archive at Nabble.com.