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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.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:

Please use the canonical form https://CRAN.R-project.org/package=HRW to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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