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:Abhibhav Sharma

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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 167 downloads 1 exports 0 dependencies

Last updated 5 years agofrom:427a3c7ee7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:ccss

Dependencies: