R/mvn.R
setparamsmvn.Rd
Set Parameters for Data Generated from a Multivariate Normal Distribution
setparamsmvn(taskid)
taskid | Numeric. Task ID. |
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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 multivariate normal data functions:
mvn_dat_simulation()
,
mvn_dat_task()
,
mvn_dat()
,
mvn()
,
useparamsmvn()
,
vm_mod_dat_simulation_simulation_summary()
,
vm_mod_dat_simulation_task_summary()
,
vm_mod_dat_simulation()
,
vm_mod_dat_task()
,
vm_mod_dat()
,
vm_sev_dat_simulation_simulation_summary()
,
vm_sev_dat_simulation_task_summary()
,
vm_sev_dat_simulation()
,
vm_sev_dat_task()
,
vm_sev_dat()
Ivan Jacob Agaloos Pesigan
setparamsmvn( taskid = 1 )#> M[x] M[m] M[y] A[x, x] A[m, x] A[y, x] #> 100.0000000 28.5925808 14.4504452 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] #> 225.0000000 0.0000000 0.0000000 0.0000000 110.2720609 0.0000000 #> S[x, y] S[m, y] S[y, y] E[x] E[m] E[y] #> 0.0000000 0.0000000 73.3220995 100.0000000 100.0000000 100.0000000 #> Cov[x, x] Cov[m, x] Cov[y, x] Cov[x, m] Cov[m, m] Cov[y, m] #> 225.0000000 160.6666931 146.5477442 160.6666931 225.0000000 183.3883948 #> Cov[x, y] Cov[m, y] Cov[y, y] taskid n reps #> 146.5477442 183.3883948 225.0000000 1.0000000 1000.0000000 5000.0000000