maxEntropy

Draw a sample by means of Conditional Poisson Sampling

internal

Approximate joint-inclusion probabilities in Unequal Probability Sampling, or compute Monte Carlo approximations of the first and second-order inclusion probabilities of a general sampling design as in Fattorini (2006) <doi:10.1093/biomet/93.2.269>.

Roberto Sichera

jipApprox

Approximate Inclusion Probabilities for Survey Sampling

maxEntropy function

<dl><dt>pik</dt>
<dd>vector of first-order inclusion probabilities</dd>
<dt>N</dt>
<dd>population size (excluding self-selecting units)</dd>
<dt>q</dt>
<dd>matrix of selection probabilities, computed by means of function
<code>UPMEsfromq()</code> of package <code>sampling</code>.</dd></dl>

Arguments

Conditional Poisson Sampling (maximum entropy sampling) — maxEntropy

<dl>

<dt>pik</dt>
<dd>vector of first-order inclusion probabilities</dd>


<dt>N</dt>
<dd>population size (excluding self-selecting units)</dd>


<dt>q</dt>
<dd>matrix of selection probabilities, computed by means of function
<code>UPMEsfromq()</code> of package <code>sampling</code>.</dd>

</dl>

maxEntropy: Conditional Poisson Sampling (maximum entropy sampling)

Description

Usage

Arguments