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CautiousLearning: Control Charts with Guaranteed In-Control Performance and Cautious Parameters Learning

Design and use of control charts for detecting mean changes based on a delayed updating of the in-control parameter estimates. See Capizzi and Masarotto (2019) <doi:10.1080/00224065.2019.1640096> for the description of the method.

Version: 1.0.1
Imports: Rcpp (≥ 1.0.0), spc
LinkingTo: Rcpp, sitmo, BH
Published: 2019-07-18
DOI: 10.32614/CRAN.package.CautiousLearning
Author: Giovanna Capizzi and Guido Masarotto
Maintainer: Giovanna Capizzi <giovanna.capizzi at unipd.it>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: CautiousLearning results

Documentation:

Reference manual: CautiousLearning.pdf

Downloads:

Package source: CautiousLearning_1.0.1.tar.gz
Windows binaries: r-devel: CautiousLearning_1.0.1.zip, r-release: CautiousLearning_1.0.1.zip, r-oldrel: CautiousLearning_1.0.1.zip
macOS binaries: r-release (arm64): CautiousLearning_1.0.1.tgz, r-oldrel (arm64): CautiousLearning_1.0.1.tgz, r-release (x86_64): CautiousLearning_1.0.1.tgz, r-oldrel (x86_64): CautiousLearning_1.0.1.tgz
Old sources: CautiousLearning archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CautiousLearning 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.