NonpModelCheck: Model Checking and Variable Selection in Nonparametric Regression

Provides tests of significance for covariates (or groups of covariates) in a fully nonparametric regression model and a variable (or group) selection procedure based on False Discovery Rate. In addition, it provides a function for local polynomial regression for any number of dimensions, using a bandwidth specified by the user or automatically chosen by cross validation or an adaptive procedure.

Version: 3.0
Depends: R (≥ 3.2.0), graphics
Imports: dr
Published: 2017-04-27
Author: Adriano Zanin Zambom
Maintainer: Adriano Zanin Zambom <adriano.zambom at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: NonpModelCheck citation info
CRAN checks: NonpModelCheck results


Reference manual: NonpModelCheck.pdf
Package source: NonpModelCheck_3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: NonpModelCheck_3.0.tgz, r-oldrel: NonpModelCheck_3.0.tgz
Old sources: NonpModelCheck archive

Reverse dependencies:

Reverse imports: CoMiRe


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