Matrix of variance of x
and error variances from the simple mediation model
from variances of x
, m
, and y
and the A
matrix.
Sfromsigma2(taudot, beta, alpha, sigma2x, sigma2m, sigma2y)
taudot | Numeric.
Slope of path from |
---|---|
beta | Numeric.
Slope of path from |
alpha | Numeric.
Slope of path from |
sigma2x | Numeric.
Variance of |
sigma2m | Numeric.
Variance of |
sigma2y | Numeric.
Variance of |
The simple mediation model is given by $$ y_i = \delta_y + \dot{\tau} x_i + \beta m_i + \varepsilon_{y_{i}} $$
$$ m_i = \delta_m + \alpha x_i + \varepsilon_{m_{i}} $$
The parameters for the mean structure are $$ \boldsymbol{\theta}_{\text{mean structure}} = \left\{ \mu_x, \delta_m, \delta_y \right\} . $$
The parameters for the covariance structure are $$ \boldsymbol{\theta}_{\text{covariance structure}} = \left\{ \dot{\tau}, \beta, \alpha, \sigma_{x}^{2}, \sigma_{\varepsilon_{m}}^{2}, \sigma_{\varepsilon_{y}}^{2} \right\} . $$
Other reticular action model functions:
A.std()
,
A()
,
Mfrommu()
,
M()
,
S.std()
,
Sigmatheta.std()
,
Sigmathetafromsigma2()
,
Sigmatheta()
,
S()
,
mutheta()
Ivan Jacob Agaloos Pesigan
Sfromsigma2( taudot = 0.207648, beta = 0.451039, alpha = 0.338593, sigma2x = 1.2934694, sigma2m = 1.0779592, sigma2y = 1.2881633 )#> x m y #> x 1.293469 0.0000000 0.0000000 #> m 0.000000 0.9296691 0.0000000 #> y 0.000000 0.0000000 0.9310597