Package: HRW 1.0-5

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.

Authors:Jaroslaw Harezlak [aut], David Ruppert [aut], Matt P. Wand [aut, cre]

HRW_1.0-5.tar.gz
HRW_1.0-5.zip(r-4.5)HRW_1.0-5.zip(r-4.4)HRW_1.0-5.zip(r-4.3)
HRW_1.0-5.tgz(r-4.4-any)HRW_1.0-5.tgz(r-4.3-any)
HRW_1.0-5.tar.gz(r-4.5-noble)HRW_1.0-5.tar.gz(r-4.4-noble)
HRW_1.0-5.tgz(r-4.4-emscripten)HRW_1.0-5.tgz(r-4.3-emscripten)
HRW.pdf |HRW.html
HRW/json (API)

# Install 'HRW' in R:
install.packages('HRW', repos = c('https://mattwand.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 1.00 score 1 dependencies 3 dependents 119 scripts 560 downloads

Last updated 3 years agofrom:7317b53c10. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:createBoundarypointsInPolysummMCMCZOSull

Dependencies:KernSmooth