HRW: Datasets, Functions and Scripts for Semiparametric Regression Supporting Harezlak, Ruppert & Wand (2018)

The book "Semiparametric Regression with R" by J. Harezlak, D. Ruppert & M.P. Wand (2018, Springer; ISBN: 978-1-4939-8851-8) makes use of datasets and scripts to explain semiparametric regression concepts. Each of the book's scripts are contained in this package as well as datasets that are not within other R packages. Functions that aid semiparametric regression analysis are also included.

Version: 1.0-5
Depends: R (≥ 3.5.0)
Imports: KernSmooth, grDevices, graphics, splines, stats
Suggests: fields, lattice, mgcv
Published: 2021-11-23
DOI: 10.32614/CRAN.package.HRW
Author: Jaroslaw Harezlak [aut], David Ruppert [aut], Matt P. Wand [aut, cre]
Maintainer: Matt P. Wand <matt.wand at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: TeachingStatistics
CRAN checks: HRW results


Reference manual: HRW.pdf


Package source: HRW_1.0-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): HRW_1.0-5.tgz, r-oldrel (arm64): HRW_1.0-5.tgz, r-release (x86_64): HRW_1.0-5.tgz, r-oldrel (x86_64): HRW_1.0-5.tgz
Old sources: HRW archive

Reverse dependencies:

Reverse imports: predictmeans


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