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GENBLIS (GENetic optimization and Bootstrapping of LInear Structures) is an evolutionary program which estimates structural equation models with latent variables by combining the global search strength of evolutionary algorithms with the ability of derivative based algorithms to do rapid local hill climbing. GENBLIS provides bootstrap confidence intervals for parameters and bootstrap confidence limits for the goodness-of-fit test statistic. Structural equation models are often used in political science, sociology, psychology, marketing and related social science fields to specify and estimate stochastic models for linear relations in the presence of measurement errors.

Current Version:   1.11.4

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