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) <arXiv:2305.04852v2>.

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
Old sources: ISS archive

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