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spc4sts
View on CRAN: Click
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Download and install spc4sts package within the R console
Install from CRAN:
install.packages("spc4sts")
Install from Github:
library("remotes")
install_github("cran/spc4sts") Install by package version:
library("remotes")
install_version("spc4sts", "0.6.5") Attach the package and use:
library("spc4sts")
Maintained by
Anh Tuan Bui
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-08
Latest Update: 2025-09-01
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) <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>.
How to cite:
Anh Tuan Bui (2017). spc4sts: Statistical Process Control for Stochastic Textured Surfaces. R package version 0.6.5, https://cran.r-project.org/web/packages/spc4sts. Accessed 05 Jun. 2026.
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imports, suggests or enhances
Complete documentation for spc4sts
Functions, R codes and Examples using
the spc4sts R package
Some associated functions: ad . bp . climit . climitject . dataPrep . diagnoseLD . disMat . exptailecdf . exptailecdfject . imposeDefect . kerMat . mbChange . monitoringStat . pexptailecdf . plotcc . sarGen . showNb . sms . spaCov . spc4sts-package . surfacemodel . twms .
Some associated R codes: ad.R . bp.R . bp2.R . climit.R . climit2.R . dataPrep.R . diagnoseLD.R . disMat.R . exptailecdf.R . imposeDefect.R . kerMat.R . mbChange.R . monitoringStat.R . pexptailecdf.R . plot.climit.R . plot.surfacemodel.R . plotcc.R . print.climit.R . print.exptailecdf.R . print.monitoringStat.R . print.surfacemodel.R . sarGen.R . showNb.R . sms.R . spaCov.R . surfacemodel.R . twms.R . Full spc4sts package functions and examples
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