Package: stablespec 0.3.0

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.

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

stablespec_0.3.0.tar.gz
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stablespec.pdf |stablespec.html
stablespec/json (API)

# Install 'stablespec' in R:
install.packages('stablespec', repos = c('https://rahmarid.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rahmarid/stablespec/issues

Datasets:

On CRAN:

6 exports 5 stars 1.22 score 38 dependencies 7 scripts 707 downloads

Last updated 7 years agofrom:b25699ceb4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:dataReshapegetModelFitnessmodelPopplotStabilityrepairCyclicModelstableSpec

Dependencies:abindadmiscarmBiocGenericsBiocManagerbootclicodacodetoolscpp11foreachggmgluegraphigraphiteratorslatticelifecyclelme4magrittrMASSMatrixmatrixcalcmcomiminqamvtnormnlmenloptrnsga2RpkgconfigpolycorRcppRcppEigenRgraphvizrlangsemvctrs