object of class "rq.process" generated by rq()

The score function desired. Currently implemented score functions are "wilcoxon", "normal", and "sign" which are asymptotically optimal for the logistic, Gaussian and Laplace location shift models respectively. The "normal" score function is also sometimes called van der Waerden scores. Also implemented are the "tau" which generalizes sign scores to an arbitrary quantile, "interquartile" which is appropriate for tests of scale shift, normalscale for Gaussian scale shift, halfnormalscale for Gaussian scale shift only to the right of the median, and lehmann for Lehmann local alternatives. See Koenker (2010) for further details on the last three of these scores.

the optional value of tau if the "tau" score function is used.

optional trimming proportion parameter(s) – only applicable for the Wilcoxon score function – when one value is provided there is symmetric trimming of the score integral to the interval (trim, 1-trim), when there are two values provided, then the trimming restricts the integration to (trim[1], trim[2]).