l1pmreg: Piecewise monotone nonparameric quantile regression
In ftnonpar: Features and Strings for Nonparametric Regression

Description Usage Arguments Value Author(s) References See Also

Applies the generalized taut string method to quantile regression.

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quantpmreg(y, beta = 0.5, squeezing.factor = 0.5, verbose = FALSE, localsqueezing = TRUE, DYADIC = TRUE, thr.const = 2, extrema.nr = -1, bandwidth = -1,SETTOMEAN = FALSE, method = 1, ...)
l1pmreg(y, beta=0.5, squeezing.factor = 0.5, verbose = FALSE, localsqueezing = TRUE, DYADIC = TRUE, thr.const = 2, extrema.nr = -1, bandwidth = -1,SETTOMEAN = FALSE, method = 1, ...)

`y`	observed values (ordered by value of independent variable)
`beta`	quantile. The default is 0.5 which corresponds to the robust taut string.
`squeezing.factor`	The amount of decrement applied to the bandwidthes
`verbose`	logical, if T progress (for each iteration) is illustrated grahically
`localsqueezing`	logical, if T (default) the bandwidth is changed locally.
`DYADIC`	logical, if T (default) the multiresolution criterion is only verified on intervals with dyadic endpoints.
`thr.const`	smoothing parameter for the multiresoultion criterion (should be approximately 2)
`extrema.nr`	if set to a positive integer an approximation with the specified number of local extreme values is calculated
`bandwidth`	if set to a positive value the specified bandwidth is used instead of the multiresolution criterion.
`SETTOMEAN`	logical, if T (default) the value of the taut string approximation at local extreme values is set to the mean or median of the observations on the interval where the extremum is taken.
`method`	The method used which can be 1 (quantile regression), 2 (usual taut string), 3 (logistic regression) and 4 (Poisson regression)
`...`	Passed to the plot command if verbose=T