The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ISS: Isotonic Subgroup Selection

Methodology for subgroup selection in the context of isotonic regression including methods for sub-Gaussian errors, classification, homoscedastic Gaussian errors and quantile regression. See the documentation of ISS(). Details can be found in the paper by Müller, Reeve, Cannings and Samworth (2023) <doi:10.48550/arXiv.2305.04852>.

Version: 1.0.0
Imports: parallel, stats, Rdpack (≥ 0.7)
Published: 2023-07-06
Author: Manuel M. Müller [aut, cre], Henry W. J. Reeve [aut], Timothy I. Cannings [aut], Richard J. Samworth [aut]
Maintainer: Manuel M. Müller <mm2559 at cam.ac.uk>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: ISS citation info
CRAN checks: ISS results

Documentation:

Reference manual: ISS.pdf

Downloads:

Package source: ISS_1.0.0.tar.gz
Windows binaries: r-devel: ISS_1.0.0.zip, r-release: ISS_1.0.0.zip, r-oldrel: ISS_1.0.0.zip
macOS binaries: r-release (arm64): ISS_1.0.0.tgz, r-oldrel (arm64): ISS_1.0.0.tgz, r-release (x86_64): ISS_1.0.0.tgz, r-oldrel (x86_64): ISS_1.0.0.tgz
Old sources: ISS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ISS 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.
Health stats visible at Monitor.