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 multi-objective optimization methods, specifically NSGA-II, 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.
Version: 0.3.0 Depends: R (≥ 3.1.0) Imports: ggm, matrixcalc, sem, nsga2R, graph, Rgraphviz, methods, polycor, foreach Suggests: testthat Published: 2017-04-05 DOI: 10.32614/CRAN.package.stablespec Author: Ridho Rahmadi [aut, cre], Perry Groot [aut, ths], Tom Heskes [aut, ths], Christoph Stich [ctb] Maintainer: Ridho Rahmadi <r.rahmadi at cs.ru.nl> BugReports: https://github.com/rahmarid/stablespec/issues License: MIT + file LICENSE URL: https://github.com/rahmarid/stablespec NeedsCompilation: no CRAN checks: stablespec results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=stablespec to link to this page.
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