Stable Specification Search in Structural Equation Models

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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("stablespec")

0.3.0 by Ridho Rahmadi, 2 years ago


https://github.com/rahmarid/stablespec


Report a bug at https://github.com/rahmarid/stablespec/issues


Browse source code at https://github.com/cran/stablespec


Authors: Ridho Rahmadi [aut, cre] , Perry Groot [aut, ths] , Tom Heskes [aut, ths] , Christoph Stich [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggm, matrixcalc, sem, nsga2R, graph, Rgraphviz, methods, polycor, foreach

Suggests testthat


See at CRAN