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uqr (version 1.0.0)

urqb: Unconditional Quantile Regression

Description

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

Usage

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

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