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-4.7)ccss_1.0.zip(r-4.6)ccss_1.0.zip(r-4.5)
ccss_1.0.tgz(r-4.6-any)ccss_1.0.tgz(r-4.5-any)
ccss_1.0.tar.gz(r-4.7-any)ccss_1.0.tar.gz(r-4.6-any)
ccss_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ccss/json (API)

# Install 'ccss' in R:
install.packages('ccss', repos = c('https://abhibhavs.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.00 score 189 downloads 1 exports 0 dependencies

Last updated from:427a3c7ee7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK98
source / vignettesOK129
linux-release-x86_64OK93
macos-release-arm64OK122
macos-oldrel-arm64OK150
windows-develOK72
windows-releaseOK64
windows-oldrelOK61
wasm-releaseOK76

Exports:ccss

Dependencies: