npreg: Nonparametric Regression via Smoothing Splines

Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for prediction and inference.

Version:	1.0-9
Suggests:	parallel, SuppDists
Published:	2022-07-20
Author:	Nathaniel E. Helwig
Maintainer:	Nathaniel E. Helwig <helwig at umn.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	ChangeLog
CRAN checks:	npreg results

Documentation:

Reference manual:

npreg.pdf

Downloads:

Package source:	npreg_1.0-9.tar.gz
Windows binaries:	r-devel: npreg_1.0-9.zip, r-release: npreg_1.0-9.zip, r-oldrel: npreg_1.0-9.zip
macOS binaries:	r-release (arm64): npreg_1.0-9.tgz, r-oldrel (arm64): npreg_1.0-9.tgz, r-release (x86_64): npreg_1.0-9.tgz, r-oldrel (x86_64): npreg_1.0-9.tgz
Old sources:	npreg archive

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