mvMonitoring-package |
A Package for Multivariate Statistical Process Monitoring |
dataStateSwitch |
Alternate Observations in a Data Frame over States |
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 |
faultDetect |
Process Fault Detection |
faultFilter |
Process Fault Filtering |
faultSwitch |
Induce the Specified Fault on NOC Observations |
mspContributionPlot |
Contribution Plots |
mspMonitor |
Real-Time Process Monitoring Function |
mspProcessData |
Simulate Normal or Fault Observations from a Single-State or Multi-State Process |
mspSPEPlot |
Squared Prediction Error Contribution Plots |
mspSubset |
Multi-State Subsetting |
mspT2Plot |
T-Squared Contribution Plots |
mspTrain |
Multi-State Adaptive-Dynamic Process Training |
mspWarning |
Process Alarms |
mvMonitoring |
A Package for Multivariate Statistical Process Monitoring |
normal_switch_xts |
Process Data under Normal Conditions |
oneDay_clean |
Real Process Data for Testing |
pca |
PCA for Data Scatter Matrix |
processMonitor |
Adaptive Process Training |
processNOCdata |
Simulate NOC Observations from a Single-State or Multi-State Process |
quantile.density |
Extract Quantiles from 'density' Objects |
rotate3D |
Three-Dimensional Rotation Matrix |
rotateScale3D |
Three-Dimensional Rotation and Scaling Matrix |
tenDay_clean |
Real Process Data for Training |
threshold |
Non-parametric Threshold Estimation |