eqs_mu: EQS mu (Bentler-Weeks)

In jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics

Description

Model-implied \boldsymbol{μ} vector using the Bentler-Weeks notation.

Usage

eqs_mu(G, BE, I, GA, mu_xi)

Arguments

G	Matrix used to select manifest (observed) variables.
BE	m \times m matrix of the coefficients for the \boldsymbol{η} variables on each other (\mathbf{B}). m is the number of \boldsymbol{η} variables.
I	m \times m identity matrix.
GA	m \times n matrix of the coefficients for the \boldsymbol{η} (m) variables on \boldsymbol{ξ} (n) variables (\boldsymbol{Γ}).
mu_xi	n \times 1 vector of means of independent variables (\boldsymbol{μ}_{\boldsymbol{ξ}}).

Details

\boldsymbol{μ} = \mathbf{G} ≤ft( \mathbf{I} - \mathbf{B} \right)^{-1} \boldsymbol{Γ} \boldsymbol{μ}_{\boldsymbol{ξ}}

Value

Returns the model-implied \boldsymbol{μ} vector using the Bentler-Weeks notation.

Author(s)

Ivan Jacob Agaloos Pesigan

References

Bentler, P. M. (2006). EQS 6 Structural Equations Program Manual. Encino, CA: Multivariate Software, Inc.

See Also

Other SEM notation functions: eqs(), lisrel_fa(), lisrel_obs_xy(), lisrel_obs_yx(), lisrel_obs_yy(), lisrel_obs(), lisrel_xx(), lisrel_xy(), lisrel_yx(), lisrel_yy(), lisrel(), ram_mu(), ram_m(), ram_s(), ram(), sem_fa(), sem_lat(), sem_obs()

jeksterslabds/jeksterslabRds documentation built on July 16, 2020, 3:41 p.m.