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:
jipApprox_0.1.5.tar.gz
jipApprox_0.1.5.zip(r-4.7)jipApprox_0.1.5.zip(r-4.6)jipApprox_0.1.5.zip(r-4.5)
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✨
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
Last updated from:be2f4ae96e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 201 | ||
| linux-release-x86_64 | OK | 96 | ||
| macos-release-arm64 | OK | 94 | ||
| macos-oldrel-arm64 | OK | 70 | ||
| windows-devel | OK | 73 | ||
| windows-release | OK | 55 | ||
| windows-oldrel | OK | 75 | ||
| wasm-release | OK | 87 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| jipApprox: Approximate inclusion probabilities for survey sampling | jipApprox-package jipApprox |
| Variance of the Horvitz-Thompson estimator | HTvar |
| Approximate Joint-Inclusion Probabilities | jip_approx |
| Approximate inclusion probabilities by Monte Carlo simulation | jip_MonteCarlo |
| Transform a Joint-Inclusion Probability data.frame to a matrix | jipDFtoM |
| Transform a matrix of Joint-Inclusion Probabilities to a data.frame | jipMtoDF |
