Abstract The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models.
Abstract The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models.
(2011) developed nonparametric quantile regression methods to estimate and make inference on conditional quantile models. The R package quantreg.nonpar ...
The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models.
Implements the nonparametric quantile regression methods developed by Belloni, Chernozhukov, and Fernandez-Val (2011) to partially linear quantile models, ...
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Jun 6, 2017 · The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile ...
Oct 31, 2016 · The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear ...
This paper serves as an introduction to the quantreg.nonpar package and displays basic functionality of the functions contained within and provides ...
The quantreg.nonpar package is able to perform estimation and inference on the conditional quantile function, its first derivative, and its second ...
Jun 6, 2017 · Abstract: The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear ...