urqb: Unconditional Quantile Regression

Description Usage Arguments See Also Examples

Description

Function Not intended for user. Returns an object of class "urq" that represents an Unconditional Quantile Regression Fit.

Usage

1
urqb(data,tau,formula,kernel=NULL,cluster=cluster)

Arguments

data

a data.frame in which to interpret the variables named in the formula

tau

the quantile(s) to be estimated, this must be a number (or a vector of numbers) strictly between 0 and 1.

formula

a formula object, with the response on the left of a ~ operator, and the terms, separated by + operators, on the right.

kernel

a character string giving the smoothing kernel to be used. This must match one of "gaussian", "rectangular", "triangular", "epanechnikov", "biweight", "cosine" or "optcosine", with default "gaussian".

cluster

column name of variable to be used in order to obtain cluster robust standard errors.

See Also

density,urq

Examples

1

Example output

Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

Loading required package: gtools
NULL

uqr documentation built on May 2, 2019, 3:43 a.m.