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    <responseDate>2026-10-15T08:17:47Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/pnn4byb564.1</identifier>
                <datestamp>2019-05-28T00:49:43Z</datestamp>
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    <dc:creator>Sarrias, Mauricio</dc:creator>
    <dc:title>R script for “Individual-Specific Point and Interval Conditional Estimates of Latent Class Logit Parameters”</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>These files allow to replicate: “Individual-Specific Point and Interval Conditional Estimates of Latent Class Logit Parameters”

The Monte Carlo experiment and the analysis were carried out in R. 

The Main R files are the following:
 -  MonteCarloLC.R             : This file runs the Monte Carlo experiment with 2 classes and generates “LC_experimentAll.RData”.
 -  MonteCarloLC3C.R.          : This file runs the Monte Carlo experiment with 3 classes and generates “LC_experimentAllMiss.RData”.
 -  Daziano&amp;Sarrias_2017_JOCM.R: This file performs the analysis of the results.

The ‘helper’ functions are the following:

- boot.lc.R: This is a function that performs the K&amp;R procedure and called into the Monte Carlo procedure. 
- helpers.R: A serie of functions to create the tables with the summary statistics.


For any comment please send an email to msarrias86@gmail.com
</dc:description>
    <dc:subject>Monte Carlo Simulation</dc:subject>
    <dc:subject>Multinomial Logit</dc:subject>
    <dc:subject>Latent Class Model</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/pnn4byb564.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/pnn4byb564.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/pnn4byb564</dc:relation>
    <dc:date>2019-05-28T00:49:43Z</dc:date>
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