The XLSTAT-LatentClass Option (only for Windows OS)
XLSTAT-LatentClass is a reduced version of Statistical Innovations' highly acclaimed LatentGOLD® package, which can help you discover the segments hidden in your data.
Latent Class (LC) Cluster models and LC Regression models both offer unique features compared to traditional clustering approaches. Unlike the ad-hoc clustering algorithms, LC is based on a formal statistical model and provides probability-based classification, formal model selection criteria and optimal handling of missing data.
XLSTAT-LatentClass offers a wide variety of easily implementable options that let users gain full control over the Latent Class models. For example, it is possible to include variables of different scales (continuous, ordinal or nominal) within the same model and to use scoring equations to be able to classify new cases into their most likely latent class as a function of the observed variables.
Latent GOLD is a registered trademark of Statistical Innovations.