Set Parameters (Exponential)
setparamsexp(taskid)
| taskid | Numeric. Task ID. |
|---|
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 exponential X data functions:
exp_dat_simulation(),
exp_dat_task(),
exp_dat(),
genexp(),
useparamsexp()
Ivan Jacob Agaloos Pesigan
setparamsexp( taskid = 1 )#> M[x] M[m] M[y] A[x, x] A[m, x] A[y, x] #> 1.0000000 0.2859258 0.1445045 0.0000000 0.7140742 0.1414214 #> A[x, m] A[m, m] A[y, m] A[x, y] A[m, y] A[y, y] #> 0.0000000 0.0000000 0.7140742 0.0000000 0.0000000 0.0000000 #> S[x, x] S[m, x] S[y, x] S[x, m] S[m, m] S[y, m] #> 1.0000000 0.0000000 0.0000000 0.0000000 0.4900980 0.0000000 #> S[x, y] S[m, y] S[y, y] E[x] E[m] E[y] #> 0.0000000 0.0000000 0.3258760 1.0000000 1.0000000 1.0000000 #> Cov[x, x] Cov[m, x] Cov[y, x] Cov[x, m] Cov[m, m] Cov[y, m] #> 1.0000000 0.7140742 0.6513233 0.7140742 1.0000000 0.8150595 #> Cov[x, y] Cov[m, y] Cov[y, y] taskid n reps #> 0.6513233 0.8150595 1.0000000 1.0000000 1000.0000000 5000.0000000 #> rate #> 1.0000000