getModelFitness

a data frame containing the data to which the model is to
be fit. If parameter <code>longitudinal</code> is <code>TRUE</code>, the data frame
should be reshaped such that the first <code>n</code> data points contain the
relations that occur in the first two time slices <code>t_0</code> and <code>t_1</code>.
The next <code>n</code> data points contain the relations that occur in
time slices <code>t_1</code> and <code>t_2</code>. The <code>i-th</code> subset of <code>n</code>
data points contain the relations in time slices <code>t_i-1</code> and <code>t_i</code>.

theData

<code>m</code> by <code>n</code> <code><a rd-options="" href="/link/matrix?package=stablespec&version=0.1.3" data-mini-rdoc="stablespec::matrix">matrix</a></code> of
binary vectors representing models, where <code>m</code> is the number of models,
and <code>n</code> is the length of the binary vector.

allModelString

number of time slices. If a cross-sectional data then the
it is 1.

numTime

<code>TRUE</code> for longitudinal data,
and <code>FALSE</code> for cross-sectional data.

longitudinal

whether to use <code>"covariance"</code> or <code>"correlation"</code>
<code><a rd-options="" href="/link/matrix?package=stablespec&version=0.1.3" data-mini-rdoc="stablespec::matrix">matrix</a></code>.


Compute the model <code>chi-square</code> and <code>model complexity</code>
of the given SEM 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.

getModelFitness: Scoring the given SEM models.

Description

Usage

Arguments

Value

Examples