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. Zambom and Akritas (2014) <doi:10.5705/ss.2013.112>, Zambom and Akritas (2015) <doi:10.1016/j.jmva.2014.08.014>, Zambom and Akritas (2017) <doi:10.18637/jss.v077.i10>.

Version:	4.1
Imports:	dr
Published:	2021-09-08
Author:	Adriano Zanin Zambom
Maintainer:	Adriano Zanin Zambom <adriano.zambom at csun.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	NonpModelCheck results

Documentation:

Reference manual:

NonpModelCheck.pdf

Downloads:

Package source:	NonpModelCheck_4.1.tar.gz
Windows binaries:	r-devel: NonpModelCheck_4.1.zip, r-release: NonpModelCheck_4.1.zip, r-oldrel: NonpModelCheck_4.1.zip
macOS binaries:	r-release (arm64): NonpModelCheck_4.1.tgz, r-oldrel (arm64): NonpModelCheck_4.1.tgz, r-release (x86_64): NonpModelCheck_4.1.tgz, r-oldrel (x86_64): NonpModelCheck_4.1.tgz
Old sources:	NonpModelCheck archive

Reverse dependencies:

Reverse imports:

CoMiRe

Linking:

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