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

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NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

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

1.00 score 161 downloads 9 exports 4 dependencies

Last updated 5 years agofrom:c34888aedf. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-linux-x86_64OKOct 26 2024

Exports:cautiousLearningcusum.clewma.clhasOMPrcrlruvsetOMPThreadssetSITMOSeedsx.cl

Dependencies:BHRcppsitmospc