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 (including random intercepts), interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for diagnostics, inference, and prediction.

Version:	1.1.0
Suggests:	parallel, statmod
Published:	2024-03-29
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_1.1.0.tar.gz
Windows binaries:	r-prerel: npreg_1.1.0.zip, r-release: npreg_1.1.0.zip, r-oldrel: npreg_1.1.0.zip
macOS binaries:	r-prerel (arm64): npreg_1.1.0.tgz, r-release (arm64): npreg_1.1.0.tgz, r-oldrel (arm64): npreg_1.1.0.tgz, r-prerel (x86_64): npreg_1.1.0.tgz, r-release (x86_64): npreg_1.1.0.tgz
Old sources:	npreg archive

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