jipDFtoM

Transform a Joint-Inclusion Probability data.frame to a matrix

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

jipDFtoM function

<dl><dt>jip</dt>
<dd>vector or data.frame containing the joint-inclusion probabilities</dd>
<dt>symmetric</dt>
<dd>boolean, if <code>TRUE</code>, returns a symmetric matrix, otherwise,
an upper triangular matrix</dd></dl>

Arguments

Transform a Joint-Inclusion Probability data.frame to a matrix — jipDFtoM

<dl>

<dt>jip</dt>
<dd>vector or data.frame containing the joint-inclusion probabilities</dd>


<dt>symmetric</dt>
<dd>boolean, if <code>TRUE</code>, returns a symmetric matrix, otherwise,
an upper triangular matrix</dd>

</dl>

jipDFtoM: Transform a Joint-Inclusion Probability data.frame to a matrix

Description

Usage

Value

Arguments