longiData4V3T


A data set of 400 intances, that is generated from a network consisting of
four continuous variables and three time slices <code>t_0,...,t_2</code>.


datasets

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.

Ridho Rahmadi

stablespec

Stable Specification Search in Structural Equation Models

longiData4V3T function

A data frame with twelve continuous variables:
<code>x1,...,x4</code> are for time slice <code>t_0</code>,
<code>x5,...,x8</code> are for time slice <code>t_1</code>, and
<code>x9,...,x12</code> are for time slice <code>t_2</code>

longiData4V3T: Artificial longitudinal data.

Description

Usage

Arguments

Format