Package: ccss 1.0
ccss: Cluster Circular Systematic Sampling
Draws systematic samples from a population that follows linear trend. The function returns a matrix comprising of the required samples as its column vectors. The samples produced are highly efficient and the inter sampling variance is minimum. The scheme will be useful in various field like Bioinformatics where the samples are expensive and must be precise in reflecting the population by possessing least sampling variance.
Authors:
ccss_1.0.tar.gz
ccss_1.0.zip(r-4.5)ccss_1.0.zip(r-4.4)ccss_1.0.zip(r-4.3)
ccss_1.0.tgz(r-4.4-any)ccss_1.0.tgz(r-4.3-any)
ccss_1.0.tar.gz(r-4.5-noble)ccss_1.0.tar.gz(r-4.4-noble)
ccss_1.0.tgz(r-4.4-emscripten)ccss_1.0.tgz(r-4.3-emscripten)
ccss.pdf |ccss.html✨
ccss/json (API)
# Install 'ccss' in R: |
install.packages('ccss', repos = c('https://abhibhavs.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 5 years agofrom:427a3c7ee7. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Exports:ccss
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cluster Circular Systematic Sampling | ccss |