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
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jipApprox.pdf |jipApprox.html
jipApprox/json (API)

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

Peer review:

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

On CRAN:

2.70 score 1 stars 4 scripts 189 downloads 5 exports 3 dependencies

Last updated 1 years agofrom:be2f4ae96e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:HTvarjip_approxjip_MonteCarlojipDFtoMjipMtoDF

Dependencies:lpSolveMASSsampling