An exploratory and heuristic approach for specification search in Structural Equation Modeling. The basic idea is to subsample the original data and then search for optimal models on each subset. Optimality is defined through two objectives: model fit and parsimony. As these objectives are conflicting, we apply a multiobjective optimization methods, specifically NSGAII, to obtain optimal models for the whole range of model complexities. From these optimal models, we consider only the relevant model specifications (structures), i.e., those that are both stable (occur frequently) and parsimonious and use those to infer a causal model.
Package details 


Author  Ridho Rahmadi [aut, cre], Perry Groot [aut, ths], Tom Heskes [aut, ths], Christoph Stich [ctb] 
Date of publication  20170405 03:27:52 UTC 
Maintainer  Ridho Rahmadi <r.rahmadi@cs.ru.nl> 
License  MIT + file LICENSE 
Version  0.3.0 
URL  https://github.com/rahmarid/stablespec 
Package repository  View on CRAN 
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