spc4sts: Statistical Process Control for Stochastic Textured Surfaces

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) <doi:10.1080/00401706.2017.1302362>. (3) global change monitoring in the nature of stochastic textured surfaces, which was proposed by Bui and Apley (2018b) <doi:10.1080/00224065.2018.1507559>. (4) computation of dissimilarity matrix of stochastic textured surface images, which was proposed by Bui and Apley (2019b) <doi:10.1016/j.csda.2019.01.019>.

Version: 0.6.3
Imports: rpart, gridExtra, parallel
Published: 2022-05-24
DOI: 10.32614/CRAN.package.spc4sts
Author: Anh Tuan Bui [aut, cre] and Daniel W. Apley [ths]
Maintainer: Anh Tuan Bui <atbui at u.northwestern.edu>
License: GPL-2
NeedsCompilation: no
Citation: spc4sts citation info
CRAN checks: spc4sts results


Reference manual: spc4sts.pdf


Package source: spc4sts_0.6.3.tar.gz
Windows binaries: r-devel: spc4sts_0.6.3.zip, r-release: spc4sts_0.6.3.zip, r-oldrel: spc4sts_0.6.3.zip
macOS binaries: r-release (arm64): spc4sts_0.6.3.tgz, r-oldrel (arm64): spc4sts_0.6.3.tgz, r-release (x86_64): spc4sts_0.6.3.tgz, r-oldrel (x86_64): spc4sts_0.6.3.tgz
Old sources: spc4sts archive


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