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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 |
| Reference manual: | HRW.pdf |
| 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 imports: | predictmeans |
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.