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 uts.edu.au>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
In views:	TeachingStatistics
CRAN checks:	HRW results

Documentation:

Reference manual:

HRW.html , HRW.pdf

Downloads:

Package source:	HRW_1.0-5.tar.gz
Windows binaries:	r-devel: HRW_1.0-5.zip, r-release: HRW_1.0-5.zip, r-oldrel: HRW_1.0-5.zip
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

Linking:

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