save_output

Write joint inclusion probability estimates on a file every <code>by</code> replications

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

save_output function

<dl><dt>iteration</dt>
<dd>integer indicating the iterations the simulation is at</dd>
<dt>design_name</dt>
<dd>string indicating the name of the sampling design to include
in the filename</dd>
<dt>counts</dt>
<dd>matrix with number of occurrences of couple of units up to
current replication</dd>
<dt>units</dt>
<dd>id of units for which output should be saved</dd>
<dt>filename</dt>
<dd>name of the file to write on disk</dd>
<dt>path</dt>
<dd>path to the directory where the file should be saved</dd>
<dt>status</dt>
<dd><code>1</code> if partial results are written before the maximum number
of replications is reached, <code>0</code> otherwise</dd>
<dt>as_data_frame</dt>
<dd>logical, should output be in form of a data frame?</dd></dl>

Arguments

Save partial results — save_output

<dl>

<dt>iteration</dt>
<dd>integer indicating the iterations the simulation is at</dd>


<dt>design_name</dt>
<dd>string indicating the name of the sampling design to include
in the filename</dd>


<dt>counts</dt>
<dd>matrix with number of occurrences of couple of units up to
current replication</dd>


<dt>units</dt>
<dd>id of units for which output should be saved</dd>


<dt>filename</dt>
<dd>name of the file to write on disk</dd>


<dt>path</dt>
<dd>path to the directory where the file should be saved</dd>


<dt>status</dt>
<dd><code>1</code> if partial results are written before the maximum number
of replications is reached, <code>0</code> otherwise</dd>


<dt>as_data_frame</dt>
<dd>logical, should output be in form of a data frame?</dd>

</dl>

save_output: Save partial results

Description

Usage

Arguments