Use Parameters (Exponential)
useparamsexp(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(),
setparamsexp()
Ivan Jacob Agaloos Pesigan
useparamsexp(taskid = 1)#> $taskid #> [1] 1 #> #> $n #> [1] 1000 #> #> $reps #> [1] 5000 #> #> $taudot #> [1] 0.1414214 #> #> $beta #> [1] 0.7140742 #> #> $alpha #> [1] 0.7140742 #> #> $alphabeta #> [1] 0.509902 #> #> $sigma2x #> [1] 1 #> #> $sigma2epsilonm #> [1] 0.490098 #> #> $sigma2epsilony #> [1] 0.325876 #> #> $mux #> [1] 1 #> #> $deltam #> [1] 0.2859258 #> #> $deltay #> [1] 0.1445045 #> #> $M #> x m y #> 1.0000000 0.2859258 0.1445045 #> #> $A #> x m y #> x 0.0000000 0.0000000 0 #> m 0.7140742 0.0000000 0 #> y 0.1414214 0.7140742 0 #> #> $S #> x m y #> x 1 0.000000 0.000000 #> m 0 0.490098 0.000000 #> y 0 0.000000 0.325876 #> #> $mutheta #> x m y #> 1 1 1 #> #> $Sigmatheta #> x m y #> x 1.0000000 0.7140742 0.6513233 #> m 0.7140742 1.0000000 0.8150595 #> y 0.6513233 0.8150595 1.0000000 #> #> $rate #> [1] 1 #>