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rq.wfit

Function to choose method for Weighted Quantile Regression

Description

Weight the data and then call the chosen fitting algorithm.

Usage

rq.wfit(x, y, tau=0.5, weights, method="br", ...)

Arguments

x

the design matrix

y

the response variable

tau

the quantile desired, if tau lies outside (0,1) the whole process is estimated.

weights

weights used in the fitting

method

method of computation: "br" is Barrodale and Roberts exterior point "fn" is the Frisch-Newton interior point method.

...

Optional arguments passed to fitting routine.

See Also

quantreg

Quantile Regression

v5.85
GPL (>= 2)
Authors
Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Blaise Melly [ctb] (Contributions to preprocessing code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Cleve Moler [ctb] (author of several linpack routines), Yousef Saad [ctb] (author of sparskit2), Victor Chernozhukov [ctb] (contributions to extreme value inference code), Ivan Fernandez-Val [ctb] (contributions to extreme value inference code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Initial release

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