The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
We consider a set of sample counts obtained by sampling arbitrary fractions of a finite volume containing an homogeneously dispersed population of identical objects. This package implements a Bayesian derivation of the posterior probability distribution of the population size using a binomial likelihood and non-conjugate, discrete uniform priors under sampling with or without replacement. This can be used for a variety of statistical problems involving absolute quantification under uncertainty. See Comoglio et al. (2013) <doi:10.1371/journal.pone.0074388>.
| Version: | 1.2.1 |
| Depends: | R (≥ 2.15.1), methods |
| Imports: | graphics, plotrix, stats, utils |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-03-21 |
| Author: | Federico Comoglio [aut, cre], Maurizio Rinaldi [aut] |
| Maintainer: | Federico Comoglio <federico.comoglio at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | dupiR citation info |
| Materials: | README NEWS |
| CRAN checks: | dupiR results |
| Reference manual: | dupiR.pdf |
| Package source: | dupiR_1.2.1.tar.gz |
| Windows binaries: | r-devel: dupiR_1.2.1.zip, r-release: dupiR_1.2.1.zip, r-oldrel: dupiR_1.2.1.zip |
| macOS binaries: | r-release (arm64): dupiR_1.2.1.tgz, r-oldrel (arm64): dupiR_1.2.1.tgz, r-release (x86_64): dupiR_1.2.1.tgz, r-oldrel (x86_64): dupiR_1.2.1.tgz |
| Old sources: | dupiR archive |
Please use the canonical form https://CRAN.R-project.org/package=dupiR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.