set_counts&lt;-

Set <code>counts</code> slot for an object of class <code>Counts</code>

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

set_counts&lt;- function

<dl><dt>object</dt>
<dd>object of class <code>Counts</code></dd>
<dt>value</dt>
<dd>numeric vector of counts</dd></dl>

Arguments

Set counts slot for an object of class Counts — set_counts&lt;-

<dl>

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


<dt>value</dt>
<dd>numeric vector of counts</dd>

</dl>

set_counts<-: Set `counts` slot for an object of class `Counts`

Description

Usage

Value

Arguments