Package: CautiousLearning 1.0.1

Giovanna Capizzi

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.

Authors:Giovanna Capizzi and Guido Masarotto

CautiousLearning_1.0.1.tar.gz
CautiousLearning_1.0.1.tar.gz(r-4.7-arm64)CautiousLearning_1.0.1.tar.gz(r-4.7-x86_64)CautiousLearning_1.0.1.tar.gz(r-4.6-arm64)CautiousLearning_1.0.1.tar.gz(r-4.6-x86_64)
CautiousLearning_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CautiousLearning/json (API)
NEWS

# Install 'CautiousLearning' in R:
install.packages('CautiousLearning', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

cppopenmp

1.00 score 196 downloads 9 exports 4 dependencies

Last updated from:c34888aedf. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK115
linux-devel-x86_64OK123
source / vignettesOK169
linux-release-arm64OK113
linux-release-x86_64OK117
wasm-releaseOK119

Exports:cautiousLearningcusum.clewma.clhasOMPrcrlruvsetOMPThreadssetSITMOSeedsx.cl

Dependencies:BHRcppsitmospc