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dupiR
View on CRAN: Click
here
Download and install dupiR package within the R console
Install from CRAN:
install.packages("dupiR")
Install from Github:
library("remotes")
install_github("cran/dupiR")
Install by package version:
library("remotes")
install_version("dupiR", "1.2.1")
Attach the package and use:
library("dupiR")
Maintained by
Federico Comoglio
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All associated links for this package
First Published: 2013-06-20
Latest Update: 2024-03-21
Description:
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) .
How to cite:
Federico Comoglio (2013). dupiR: Bayesian Inference from Count Data using Discrete Uniform Priors. R package version 1.2.1, https://cran.r-project.org/web/packages/dupiR. Accessed 23 Nov. 2024.
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