Use Parameters (Beta)
useparamsbeta(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 beta X data functions:
beta_dat_simulation(),
beta_dat_task(),
beta_dat(),
genbeta(),
setparamsbeta()
Ivan Jacob Agaloos Pesigan
useparamsbeta(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] 0.0625 #> #> $sigma2epsilonm #> [1] 0.03063113 #> #> $sigma2epsilony #> [1] 0.02036725 #> #> $mux #> [1] 0.5 #> #> $deltam #> [1] 0.1429629 #> #> $deltay #> [1] 0.07225223 #> #> $M #> x m y #> 0.50000000 0.14296290 0.07225223 #> #> $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 0.0625 0.00000000 0.00000000 #> m 0.0000 0.03063113 0.00000000 #> y 0.0000 0.00000000 0.02036725 #> #> $mutheta #> x m y #> 0.5 0.5 0.5 #> #> $Sigmatheta #> x m y #> x 0.06250000 0.04462964 0.04070771 #> m 0.04462964 0.06250000 0.05094122 #> y 0.04070771 0.05094122 0.06250000 #> #> $shape1 #> [1] 1.5 #> #> $shape2 #> [1] 1.5 #>