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  "Title": "Statistical Matching Using Latent Class Models",
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  "Description": "Tools for statistical matching based on latent class\nmodels. The package implements statistical matching procedures\nbased on latent class models. It allows researchers to perform\ndata integration when no unique identifiers are available by\nmodeling the joint distribution of variables through latent\ncategorical structures. The package supports estimation of\nlatent class models, probabilistic matching between donor and\nrecipient data sets, and generation of synthetic linked data\nunder uncertainty. It is particularly useful in survey research\nand data fusion applications where combining information from\nmultiple sources is required while preserving statistical\nproperties and accounting for measurement error and missing\ndata mechanisms.",
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  "Author": "Alicja Wolny-Dominiak [aut, cre], Israa Lewaaelhamd [aut],\nMohammed Ali Ismail [aut]",
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