R: Statistical Process Control for Stochastic Textured Surfaces

# Statistical Process Control for Stochastic Textured Surfaces

## Documentation for package ‘spc4sts’ version 0.6.5

- DESCRIPTION file

## Help Pages

spc4sts-package | Statistical Process Control for Stochastic Textured Surfaces
ad | One-Sample Anderson-Darling Statistic
bp | Box-Pierce-Type Statistic
bp2 | Box-Pierce-Type Statistic
climit | Control Limit and Diagnostic Threshold Construction
climit.object | Control Limit and Diagnostic Threshold Construction Object
climit2 | Control Limit and Diagnostic Threshold Construction
dataPrep | Neighborhood Data Preparation
diagnoseLD | Diagnose Local Defects on Stochastic Textured Surfaces
disMat | Pairwise Dissimilarity Matrix of Stochastic Textured Surfaces
exptailecdf | Empirical Cumulative Distribution Function with Exponential Tail Approximation
exptailecdf.object | Empirical Cumulative Distribution Function with Exponential Tail Approximation Object
imposeDefect | Superimpose A Local Defect
kerMat | Epanechnikov quadratic kernel matrix
mbChange | Matchbox Change
monitoringStat | Monitoring Statistic for Stochastic Textured Surfaces
pexptailecdf | Predictions from an Exptailecdf Object
plot.climit | Control Limit and Diagnostic Threshold Construction
plot.surfacemodel | Statistical reprentations of stochastic textured surfaces using supervised learning
plotcc | Control Chart Plotting
print.climit | Control Limit and Diagnostic Threshold Construction
print.exptailecdf | Empirical Cumulative Distribution Function with Exponential Tail Approximation
print.monitoringStat | Monitoring Statistic for Stochastic Textured Surfaces
print.surfacemodel | Statistical reprentations of stochastic textured surfaces using supervised learning
sarGen | Stochastic Autoregressive Image Generator
showNb | Show Neighborhood
sms | Spatial Moving Statistic
spaCov | Spatial Weighted Covariance
spc4sts | Statistical Process Control for Stochastic Textured Surfaces
surfacemodel | Statistical reprentations of stochastic textured surfaces using supervised learning
twms | Time-Weighted Moving Statistic