lisrel_obs_yy: LISREL Structural Equations with Observed Variables (yy)

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

Description

Model-implied variance-covariance matrix for \mathbf{y} variables (\boldsymbol{Σ}_{\mathbf{yy}} ≤ft( \boldsymbol{θ} \right)) using the LISREL notation for structural equations with observed variables.

Usage

lisrel_obs_yy(inv, GA, PH, PS)

Arguments

inv	The inverse of I minus BE (≤ft( \mathbf{I} - \mathbf{B} \right)^{-1}).
GA	\boldsymbol{Γ}_{m \times n} coefficient matrix for exogenous variables.
PH	\boldsymbol{Φ}_{n \times n} variance-covariance matrix of \boldsymbol{ξ}.
PS	\boldsymbol{Ψ}_{m \times m} variance-covariance of \boldsymbol{ζ}. \boldsymbol{ζ} is a matrix of residual variances and covariances in regression equations.

Details

\boldsymbol{Σ}_{\mathbf{yy}} ≤ft( \boldsymbol{θ} \right) = ≤ft( \mathbf{I} - \mathbf{B} \right)^{-1} ≤ft( \boldsymbol{Γ} \boldsymbol{Φ} \boldsymbol{Γ}^{T} + \boldsymbol{Ψ} \right) ≤ft[ ≤ft( \mathbf{I} - \mathbf{B} \right)^{-1} \right]^{T}

Value

Returns the model-implied variance-covariance matrix for \mathbf{y} (\boldsymbol{Σ}_{\mathbf{yy}} ≤ft( \boldsymbol{θ} \right)) derived from the \mathbf{B} (BE), \mathbf{I} (I), \boldsymbol{Γ} (GA), \boldsymbol{Φ} (PH), and \boldsymbol{Ψ} (PS) matrices.

Author(s)

Ivan Jacob Agaloos Pesigan

References

Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.

Jöreskog, K. G., & Sörbom, D. (1996). Lisrel 8: User's reference guide (2nd ed.). Scientific Software.

See Also

Other SEM notation functions: eqs_mu(), eqs(), lisrel_fa(), lisrel_obs_xy(), lisrel_obs_yx(), 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.