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:
mvMonitoring_0.2.4.tar.gz
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mvMonitoring_0.2.4.tgz(r-4.4-any)mvMonitoring_0.2.4.tgz(r-4.3-any)
mvMonitoring_0.2.4.tar.gz(r-4.5-noble)mvMonitoring_0.2.4.tar.gz(r-4.4-noble)
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mvMonitoring.pdf |mvMonitoring.html✨
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
- fault1A_xts - Process Data under a System Shift Fault
- fault2A_xts - Process Data under a System Drift Fault
- fault3A_xts - Process Data under a System Signal Amplification
- normal_switch_xts - Process Data under Normal Conditions
- oneDay_clean - Real Process Data for Testing
- tenDay_clean - Real Process Data for Training
Last updated 1 years agofrom:1b081c8866. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-win | OK | Nov 22 2024 |
| R-4.5-linux | OK | Nov 22 2024 |
| R-4.4-win | OK | Nov 22 2024 |
| R-4.4-mac | OK | Nov 22 2024 |
| R-4.3-win | OK | Nov 22 2024 |
| R-4.3-mac | OK | Nov 22 2024 |
Exports:dataStateSwitchfaultDetectfaultFilterfaultSwitchmspContributionPlotmspMonitormspProcessDatamspSPEPlotmspSubsetmspT2PlotmspTrainmspWarningpcaprocessMonitorprocessNOCdatarotate3DrotateScale3Dthreshold
Dependencies:cliDEoptimRdplyrfansigenericsgluelatticelazyevallifecyclemagrittrpillarpkgconfigplyrR6Rcpprlangrobustbasetibbletidyselectutf8vctrswithrxtszoo
