Package: spc4sts 0.6.3

Anh Tuan Bui
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>.
Authors:
spc4sts_0.6.3.tar.gz
spc4sts_0.6.3.tar.gz(r-4.5-noble)spc4sts_0.6.3.tar.gz(r-4.4-noble)
spc4sts_0.6.3.tgz(r-4.4-emscripten)spc4sts_0.6.3.tgz(r-4.3-emscripten)
spc4sts.pdf |spc4sts.html✨
spc4sts/json (API)
# Install 'spc4sts' in R: |
install.packages('spc4sts', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:335f318f26. Checks:2 OK, 1 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 11 2025 |
R-4.5-linux | NOTE | Mar 11 2025 |
R-4.4-linux | OK | Mar 11 2025 |
Exports:adbpbp2climitclimit2dataPrepdiagnoseLDdisMatexptailecdfimposeDefectkerMatmbChangemonitoringStatpexptailecdfplot.climitplot.surfacemodelplotccprint.climitprint.exptailecdfprint.monitoringStatprint.surfacemodelsarGenshowNbsmsspaCovsurfacemodeltwms
Citation
To cite spc4sts in publications use:
Anh Tuan Bui, Daniel W. Apley (2021). spc4sts: Statistical Process Control for Stochastic Textured Surfaces in R. Journal of Quality Technology, 53(3), 219-242. DOI 10.1080/00224065.2019.1707730.
Corresponding BibTeX entry:
@Article{, title = {{spc4sts}: Statistical Process Control for Stochastic Textured Surfaces in R}, author = {Anh Tuan Bui and Daniel W. Apley}, journal = {Journal of Quality Technology}, year = {2021}, volume = {53}, issue = {3}, pages = {219--242}, doi = {10.1080/00224065.2019.1707730}, }