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spc4sts (version 0.6.3)

Statistical Process Control for Stochastic Textured Surfaces

Description

Provides statistical process control tools for stochastic textured surfaces. The current version supports the following tools: (1) generic modeling of stochastic textured surfaces. (2) local defect monitoring and diagnostics in stochastic textured surfaces, which was proposed by Bui and Apley (2018a) . (3) global change monitoring in the nature of stochastic textured surfaces, which was proposed by Bui and Apley (2018b) . (4) computation of dissimilarity matrix of stochastic textured surface images, which was proposed by Bui and Apley (2019b) .

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Version

Install

install.packages('spc4sts')

Monthly Downloads

224

Version

0.6.3

License

GPL-2

Maintainer

Anh Bui

Last Published

May 24th, 2022

Functions in spc4sts (0.6.3)

climit.object

Control Limit and Diagnostic Threshold Construction Object
dataPrep

Neighborhood Data Preparation
imposeDefect

Superimpose A Local Defect
exptailecdf

Empirical Cumulative Distribution Function with Exponential Tail Approximation
climit

Control Limit and Diagnostic Threshold Construction
ad

One-Sample Anderson-Darling Statistic
disMat

Pairwise Dissimilarity Matrix of Stochastic Textured Surfaces
exptailecdf.object

Empirical Cumulative Distribution Function with Exponential Tail Approximation Object
diagnoseLD

Diagnose Local Defects on Stochastic Textured Surfaces
bp

Box-Pierce-Type Statistic
spaCov

Spatial Weighted Covariance
spc4sts-package

Statistical Process Control for Stochastic Textured Surfaces
pexptailecdf

Predictions from an Exptailecdf Object
monitoringStat

Monitoring Statistic for Stochastic Textured Surfaces
surfacemodel

Statistical reprentations of stochastic textured surfaces using supervised learning
mbChange

Matchbox Change
kerMat

Epanechnikov quadratic kernel matrix
plotcc

Control Chart Plotting
sarGen

Stochastic Autoregressive Image Generator
sms

Spatial Moving Statistic
showNb

Show Neighborhood
twms

Time-Weighted Moving Statistic