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>.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.4.0) |
| Imports: | sampling |
| Published: | 2019-02-09 |
| Author: | Roberto Sichera [aut, cre] |
| Maintainer: | Roberto Sichera <roberto.sichera at unipa.it> |
| BugReports: | https://github.com/rhobis/jipApprox/issues |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | jipApprox results |
| Reference manual: | jipApprox.pdf |
| Package source: | jipApprox_0.1.2.tar.gz |
| Windows binaries: | r-devel: jipApprox_0.1.2.zip, r-release: jipApprox_0.1.2.zip, r-oldrel: jipApprox_0.1.2.zip |
| macOS binaries: | r-release: jipApprox_0.1.2.tgz, r-oldrel: jipApprox_0.1.2.tgz |
| Old sources: | jipApprox archive |
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