stablespec (0.1.3)

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 for each subset we search the optimal models. Here the criteria of an optimal model is defined by two objectives: to fit the data well and is simple (parsimonious) model. As these objectives are conflicting, we apply NSGA-II to optimize, such that to get optimal models for the whole range of model complexities. From these optimal models, we observe the model specifications (structures) that are both stable and parsimonious, called relevant. At the end we infer causal model from these relevant structures.

Maintainer: Ridho Rahmadi
Author(s): Ridho Rahmadi [aut, cre], Perry Groot [aut, ths], Tom Heskes [aut, ths]

License: MIT + file LICENSE

Uses: ggm, graph, matrixcalc, nsga2R, sem, testthat

Released over 2 years ago.