Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/189738 
Year of Publication: 
2017
Series/Report no.: 
cemmap working paper No. CWP29/17
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models. quantreg.nonpar obtains point estimates of the conditional quantile function and its derivatives based on series approximations to the nonparametric part of the model. It also provides pointwise and uniform confidence intervals over a region of covariate values and/or quantile indices for the same functions using analytical and resampling methods. This paper serves as an introduction to the package and displays basic functionality of the functions contained within.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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