stablespec: 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.
| 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 |
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