rcpp_RAMmult

Take RAM matrices, multiplies, and returns Implied Covariance matrix.

Uses both ridge and lasso penalties (and extensions) to penalize
specific parameters in structural equation models. The package offers additional
cost functions, cross validation, and other extensions beyond traditional structural
equation models. Also contains a function to perform exploratory mediation (XMed).

Ross Jacobucci

regsem

Regularized Structural Equation Modeling

Kevin Grimm

Andreas Brandmaier

Sarfaraz Serang

Rogier Kievit

Florian Scharf

Xiaobei Li

Ai Ye

rcpp_RAMmult function

<dl><dt>par</dt>
<dd>parameter estimates.</dd>
<dt>A</dt>
<dd>A matrix with parameter labels.</dd>
<dt>S</dt>
<dd>S matrix with parameter labels.</dd>
<dt>S_fixed</dt>
<dd>S matrix with fixed indicators.</dd>
<dt>A_fixed</dt>
<dd>A matrix with fixed indicators.</dd>
<dt>A_est</dt>
<dd>A matrix with parameter estimates.</dd>
<dt>S_est</dt>
<dd>S matrix with parameter estimates.</dd>
<dt>Fmat</dt>
<dd>Fmat matrix.</dd>
<dt>I</dt>
<dd>Diagonal matrix of ones.</dd></dl>

Arguments

Take RAM matrices, multiplies, and returns Implied Covariance matrix. — rcpp_RAMmult

<dl>

<dt>par</dt>
<dd>parameter estimates.</dd>


<dt>A</dt>
<dd>A matrix with parameter labels.</dd>


<dt>S</dt>
<dd>S matrix with parameter labels.</dd>


<dt>S_fixed</dt>
<dd>S matrix with fixed indicators.</dd>


<dt>A_fixed</dt>
<dd>A matrix with fixed indicators.</dd>


<dt>A_est</dt>
<dd>A matrix with parameter estimates.</dd>


<dt>S_est</dt>
<dd>S matrix with parameter estimates.</dd>


<dt>Fmat</dt>
<dd>Fmat matrix.</dd>


<dt>I</dt>
<dd>Diagonal matrix of ones.</dd>

</dl>

rcpp_RAMmult: Take RAM matrices, multiplies, and returns Implied Covariance matrix.

Description

Usage

Arguments