quantreg.nonpar

Package: quantreg.nonpar
Type: Package
Title: Nonparametric Series Quantile Regression
Version: 1.0
Date: 2016-03-31
Author: Michael Lipsitz, Alexandre Belloni, Victor Chernozhukov, Ivan Fernandez-Val
Maintainer: Ivan Fernandez-Val <ivanf@bu.edu>
Depends: R (>= 2.10), quantreg, mnormt, fda, Rearrangement
Description: Implements the nonparametric quantile regression method developed by Belloni, Chernozhukov, and Fernandez-Val (2011) to partially linear quantile models. Provides point estimates of the conditional quantile function and its derivatives based on series approximations to the nonparametric part of the model. Provides pointwise and uniform confidence intervals using analytic and resampling methods.
License: GPL (>= 2)
Packaged: 2016-04-01 01:04:28 UTC; clairepeyser
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-04-01 14:26:39

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
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