Package: jipApprox 0.1.5

jipApprox: Approximate Inclusion Probabilities for Survey Sampling

Approximate joint-inclusion probabilities in Unequal Probability Sampling, or compute Monte Carlo approximations of the first and second-order inclusion probabilities of a general sampling design as in Fattorini (2006) <doi:10.1093/biomet/93.2.269>.

Authors:Roberto Sichera [aut, cre]

jipApprox_0.1.5.tar.gz
jipApprox_0.1.5.zip(r-4.7-any)jipApprox_0.1.5.zip(r-4.6-any)jipApprox_0.1.5.zip(r-4.5-any)
jipApprox_0.1.5.tgz(r-4.6-any)jipApprox_0.1.5.tgz(r-4.5-any)
jipApprox_0.1.5.tar.gz(r-4.7-any)jipApprox_0.1.5.tar.gz(r-4.6-any)
jipApprox_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
jipApprox/json (API)

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

Bug tracker:https://github.com/rhobis/jipapprox/issues

On CRAN:

Conda:

2.70 score 1 stars 4 scripts 203 downloads 5 exports 3 dependencies

Last updated from:abfe6daeff. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK280
linux-release-x86_64OK111
macos-release-arm64OK98
macos-oldrel-arm64OK108
windows-develOK61
windows-releaseOK56
windows-oldrelOK113
wasm-releaseOK92

Exports:HTvarjip_approxjip_MonteCarlojipDFtoMjipMtoDF

Dependencies:lpSolveMASSsampling