summary,Counts-method

Summary method for <code>Counts</code> class

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>.

Federico Comoglio

dupiR

Bayesian Inference from Count Data using Discrete Uniform Priors

Maurizio Rinaldi

summary,Counts-method function

<dl><dt>object</dt>
<dd>object of class <code>Counts</code></dd>
<dt>...</dt>
<dd>additional parameters affecting the summary produced</dd></dl>

Arguments

Summary method for Counts class — summary,Counts-method

<dl>

<dt>object</dt>
<dd>object of class <code>Counts</code></dd>


<dt>...</dt>
<dd>additional parameters affecting the summary produced</dd>

</dl>

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summary,Counts-method: Summary method for `Counts` class

Description

Usage

Value

Arguments