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spc4sts  

Statistical Process Control for Stochastic Textured Surfaces
View on CRAN: Click here


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", "0.6.3")



Attach the package and use:
library("spc4sts")
Maintained by
Anh Tuan Bui
[Scholar Profile | Author Map]
First Published: 2017-07-08
Latest Update: 2022-05-24
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 0.6.3, https://cran.r-project.org/web/packages/spc4sts. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.1.1 (2017-07-08 05:26), 0.2.1 (2017-07-17 11:17), 0.3.0 (2018-03-16 21:24), 0.3.1 (2018-04-09 21:13), 0.4.0 (2019-01-24 06:50), 0.4.2 (2019-02-25 18:20), 0.5.1 (2019-09-04 11:10), 0.5.2 (2019-12-09 21:50), 0.5.4 (2021-07-02 16:50), 0.5.5 (2022-02-12 11:10)
Other packages that cited spc4sts R package
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Other R packages that spc4sts depends, imports, suggests or enhances
Complete documentation for spc4sts
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