
CRAN . RSTUDIO . COM {
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Title:
CRAN: Package stablespec
Description:
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.
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Keywords {🔍}
models, model, stablespectgz, stablespec, search, optimal, aut, stablespeczip, rrelease, roldrel, stable, specification, structural, equation, objectives, methods, ridho, rahmadi, ths, license, binaries, arm, exploratory, heuristic, approach, modeling, basic, idea, subsample, original, data, subset, optimality, defined, fit, parsimony, conflicting, apply, multiobjective, optimization, specifically, nsgaii, obtain, range, complexities, relevant, specifications, structures, occur, frequently,
Topics {✒️}
multi-objective optimization methods /rahmarid/stablespec/issues license structural equation modeling specifically nsga-ii perry groot [aut tom heskes [aut /rahmarid/stablespec needscompilation gz windows binaries structural equation models stablespec results documentation stablespec archive linking relevant model specifications obtain optimal models zip macos binaries canonical form https ridho rahmadi [aut org/package=stablespec stable specification search optimal models specification search stablespec author model fit model complexities causal model heuristic approach basic idea original data occur frequently foreach suggests testthat published reference manual pdf downloads package source r-devel r-release r-oldrel r-project cran checks stablespec methods search stable package rahmadi https zip 32614/cran //cran exploratory subsample
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