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 = c('https://cran.r-universe.dev', '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:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 11 2024 |
| R-4.5-linux | NOTE | Dec 11 2024 |
Exports:adbpbp2climitclimit2dataPrepdiagnoseLDdisMatexptailecdfimposeDefectkerMatmbChangemonitoringStatpexptailecdfplot.climitplot.surfacemodelplotccprint.climitprint.exptailecdfprint.monitoringStatprint.surfacemodelsarGenshowNbsmsspaCovsurfacemodeltwms
