jipMtoDF

Transform a matrix of Joint-Inclusion Probabilities to a data.frame

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

jipMtoDF function

<dl><dt>jip</dt>
<dd>a square matrix of joint-inclusion probabilities, symmetric or
upper-triangular</dd>
<dt>id</dt>
<dd>optional, vector of id labels, its length should be equal to
<code>ncol(jip)</code> and <code>nrow(jip)</code></dd></dl>

Arguments

Transform a matrix of Joint-Inclusion Probabilities to a data.frame — jipMtoDF

<dl>

<dt>jip</dt>
<dd>a square matrix of joint-inclusion probabilities, symmetric or
upper-triangular</dd>


<dt>id</dt>
<dd>optional, vector of id labels, its length should be equal to
<code>ncol(jip)</code> and <code>nrow(jip)</code></dd>

</dl>

jipMtoDF: Transform a matrix of Joint-Inclusion Probabilities to a data.frame

Description

Usage

Arguments