Description Usage Arguments Details Value Author(s) References See Also
Derives the model-implied mean vector \boldsymbol{μ} ≤ft( \boldsymbol{θ} \right) using the Reticular Action Model (RAM) notation.
1 |
m |
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A |
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filter |
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The model-implied mean vector \boldsymbol{μ} ≤ft( \boldsymbol{θ} \right) as a function of Reticular Action Model (RAM) matrices is given by
\boldsymbol{μ} ≤ft( \boldsymbol{θ} \right) = \mathbf{F} ≤ft( \mathbf{I} - \mathbf{A} \right)^{-1} \mathbf{m}
where
\mathbf{A}_{t \times t} represents asymmetric paths (single-headed arrows), such as regression coefficients and factor loadings,
\mathbf{F}_{j \times t} represents the filter matrix used to select the observed variables,
\mathbf{I}_{t \times t} represents an identity matrix,
\mathbf{m}_{t \times 1} represents the mean structure, that is, a vector of means and intercepts,
j number of observed variables,
k number of latent variables, and
t number of observed and latent variables, that is j + k .
Returns the model-implied mean vector
\boldsymbol{μ} ≤ft( \boldsymbol{θ} \right)
derived from the M, A, and filter matrices.
Ivan Jacob Agaloos Pesigan
McArdle, J. J. (2013). The development of the RAM rules for latent variable structural equation modeling. In A. Maydeu-Olivares & J. J. McArdle (Eds.), Contemporary Psychometrics: A festschrift for Roderick P. McDonald (pp. 225–273). Lawrence Erlbaum Associates.
McArdle, J. J., & McDonald, R. P. (1984). Some algebraic properties of the Reticular Action Model for moment structures. British Journal of Mathematical and Statistical Psychology, 37 (2), 234–251.
Other SEM notation functions:
Omega(),
Sigmatheta(),
m()
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