jip_Tille

Compute the approximation of joint-inclusion probabilities by means of the
Iterative Proportional Fitting Procedure (IPFP) proposed by Tillé (1996)

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

jip_Tille function

<dl><dt>pik</dt>
<dd>numeric vector of first-order inclusion probabilities for all
population units.</dd>
<dt>eps</dt>
<dd>tolerance value for the convergence of the fixed-point procedure</dd>
<dt>maxIter</dt>
<dd>a scalar indicating the maximum number of iterations for the
fixed-point procedure</dd></dl>

Arguments

Tillé's approximation of joint-inclusion probabilities — jip_Tille

<dl>

<dt>pik</dt>
<dd>numeric vector of first-order inclusion probabilities for all
population units.</dd>


<dt>eps</dt>
<dd>tolerance value for the convergence of the fixed-point procedure</dd>


<dt>maxIter</dt>
<dd>a scalar indicating the maximum number of iterations for the
fixed-point procedure</dd>

</dl>

jip_Tille: Tillé's approximation of joint-inclusion probabilities

Description

Usage

Arguments