inclprob

Computes first-order inclusion probabilities from a vector of positive numbers.

Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) <doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <doi:10.1016/j.jspi.2022.12.003>.

Raphael Jauslin

StratifiedSampling

Different Methods for Stratified Sampling

Esther Eustache

Bardia Panahbehagh

Yves Tillé

inclprob function

<dl><dt>x</dt>
<dd>vector of positive numbers.</dd>
<dt>n</dt>
<dd>sample size (could be a positive real value).</dd></dl>

Arguments

Inclusion Probabilities — inclprob

<dl>

<dt>x</dt>
<dd>vector of positive numbers.</dd>


<dt>n</dt>
<dd>sample size (could be a positive real value).</dd>

</dl>

inclprob: Inclusion Probabilities

Description

Usage

Value

Arguments

Details

See Also

Examples