plot,Counts-method

Plot 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

plot,Counts-method function

<dl><dt>x</dt>
<dd>object of class <code>Counts</code></dd>
<dt>y</dt>
<dd>none</dd>
<dt>...</dt>
<dd>additional parameters to be passed to plot_posterior</dd></dl>

Arguments

Plot method for Counts class — plot,Counts-method

<dl>

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


<dt>y</dt>
<dd>none</dd>


<dt>...</dt>
<dd>additional parameters to be passed to plot_posterior</dd>

</dl>

plot,Counts-method: Plot method for `Counts` class

Description

Usage

Value

Arguments