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spc4sts (version 0.1.1)

Statistical Process Control for Stochastic Textured Surfaces

Description

Provides statistical process control tools for stochastic textured surfaces. The current version supports the first tool that monitors and diagnoses for local defects on the stochastic textured surfaces, which was proposed by Bui and Apley (2017) .

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Version

Install

install.packages('spc4sts')

Monthly Downloads

224

Version

0.1.1

License

GPL-2

Maintainer

Anh Bui

Last Published

July 8th, 2017

Functions in spc4sts (0.1.1)

diagnoseLD

Diagnose Local Defects on 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 Local Defects
sms

Spatial Moving Statistic
spaCov

Spatial Weighted Covariance
ad

One-Sample Anderson-Darling Statistic
bp

Box-Pierce-Type Statistic
climit

Control Limit and Diagnostic Threshold Construction
dataPrep

Neighborhood Data Preparation
pexptailecdf

Predictions from an Exptailecdf Object
sarGen

Stochastic Autoregressive Image Generator
kerMat

Epanechnikov quadratic kernel matrix
localStat

Monitoring Statistic for Local Defects on Stochastic Textured Surfaces
spc4sts-package

Statistical Process Control for Stochastic Textured Surfaces
surfacemodel

Statistical reprentations of stochastic textured surfaces using supervised learning.