Package: mvMonitoring 0.2.4

mvMonitoring: Multi-State Adaptive Dynamic Principal Component Analysis for Multivariate Process Monitoring

Use multi-state splitting to apply Adaptive-Dynamic PCA (ADPCA) to data generated from a continuous-time multivariate industrial or natural process. Employ PCA-based dimension reduction to extract linear combinations of relevant features, reducing computational burdens. For a description of ADPCA, see <doi:10.1007/s00477-016-1246-2>, the 2016 paper from Kazor et al. The multi-state application of ADPCA is from a manuscript under current revision entitled "Multi-State Multivariate Statistical Process Control" by Odom, Newhart, Cath, and Hering, and is expected to appear in Q1 of 2018.

Authors:Melissa Innerst [aut], Gabriel Odom [aut, cre], Ben Barnard [aut], Karen Kazor [aut], Amanda Hering [aut]

mvMonitoring_0.2.4.tar.gz
mvMonitoring_0.2.4.zip(r-4.7)mvMonitoring_0.2.4.zip(r-4.6)mvMonitoring_0.2.4.zip(r-4.5)
mvMonitoring_0.2.4.tgz(r-4.6-any)mvMonitoring_0.2.4.tgz(r-4.5-any)
mvMonitoring_0.2.4.tar.gz(r-4.7-any)mvMonitoring_0.2.4.tar.gz(r-4.6-any)
mvMonitoring_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
mvMonitoring/json (API)
NEWS

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

Bug tracker:https://github.com/gabrielodom/mvmonitoring/issues

Datasets:

On CRAN:

Conda:

5.24 score 4 stars 29 scripts 182 downloads 18 exports 23 dependencies

Last updated from:1b081c8866. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK152
linux-release-x86_64OK133
macos-release-arm64OK128
macos-oldrel-arm64OK152
windows-develOK115
windows-releaseOK118
windows-oldrelOK94
wasm-releaseOK104

Exports:dataStateSwitchfaultDetectfaultFilterfaultSwitchmspContributionPlotmspMonitormspProcessDatamspSPEPlotmspSubsetmspT2PlotmspTrainmspWarningpcaprocessMonitorprocessNOCdatarotate3DrotateScale3Dthreshold

Dependencies:cliDEoptimRdplyrgenericsgluelatticelazyevallifecyclemagrittrpillarpkgconfigplyrR6Rcpprlangrobustbasetibbletidyselectutf8vctrswithrxtszoo

Multivariate Statistical Process Control with mvMonitoring

Rendered fromMVSPC-Workflow.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2023-06-29
Started: 2017-07-04