R/mvn_complete_unstd_fit.ols.R
mvn_fit.ols.Rd
Fit Simple Mediation Model for Data Generated from a Multivariate Normal Distribution - Ordinary Least Squares
mvn_fit.ols(data, taskid)
data |
|
---|---|
taskid | Numeric. Task ID. |
Other model fit functions:
beta_fit.ols_simulation_summary()
,
beta_fit.ols_simulation()
,
beta_fit.ols_task_summary()
,
beta_fit.ols_task()
,
beta_fit.ols()
,
beta_fit.sem.mlr_simulation_summary()
,
beta_fit.sem.mlr_simulation()
,
beta_fit.sem.mlr_task_summary()
,
beta_fit.sem.mlr_task()
,
beta_fit.sem.mlr()
,
beta_std_fit.sem.mlr_simulation_summary()
,
beta_std_fit.sem.mlr_simulation()
,
beta_std_fit.sem.mlr_task_summary()
,
beta_std_fit.sem.mlr_task()
,
beta_std_fit.sem.mlr()
,
exp_fit.ols_simulation_summary()
,
exp_fit.ols_simulation()
,
exp_fit.ols_task_summary()
,
exp_fit.ols_task()
,
exp_fit.ols()
,
exp_fit.sem.mlr_simulation_summary()
,
exp_fit.sem.mlr_simulation()
,
exp_fit.sem.mlr_task_summary()
,
exp_fit.sem.mlr_task()
,
exp_fit.sem.mlr()
,
exp_std_fit.sem.mlr_simulation_summary()
,
exp_std_fit.sem.mlr_simulation()
,
exp_std_fit.sem.mlr_task_summary()
,
exp_std_fit.sem.mlr_task()
,
exp_std_fit.sem.mlr()
,
fit.cov()
,
fit.ols()
,
fit.sem.mlr()
,
fit.sem()
,
mvn_fit.ols_simulation_summary()
,
mvn_fit.ols_simulation()
,
mvn_fit.ols_task_summary()
,
mvn_fit.ols_task()
,
mvn_fit.sem_simulation_summary()
,
mvn_fit.sem_simulation()
,
mvn_fit.sem_task_summary()
,
mvn_fit.sem_task()
,
mvn_fit.sem()
,
mvn_mar_10_fit.sem_simulation_summary()
,
mvn_mar_10_fit.sem_simulation()
,
mvn_mar_10_fit.sem_task_summary()
,
mvn_mar_10_fit.sem_task()
,
mvn_mar_10_fit.sem()
,
mvn_mar_20_fit.sem_simulation_summary()
,
mvn_mar_20_fit.sem_simulation()
,
mvn_mar_20_fit.sem_task_summary()
,
mvn_mar_20_fit.sem_task()
,
mvn_mar_20_fit.sem()
,
mvn_mar_30_fit.sem_simulation_summary()
,
mvn_mar_30_fit.sem_simulation()
,
mvn_mar_30_fit.sem_task_summary()
,
mvn_mar_30_fit.sem_task()
,
mvn_mar_30_fit.sem()
,
mvn_mcar_10_fit.sem_simulation_summary()
,
mvn_mcar_10_fit.sem_simulation()
,
mvn_mcar_10_fit.sem_task_summary()
,
mvn_mcar_10_fit.sem_task()
,
mvn_mcar_10_fit.sem()
,
mvn_mcar_20_fit.sem_simulation_summary()
,
mvn_mcar_20_fit.sem_simulation()
,
mvn_mcar_20_fit.sem_task_summary()
,
mvn_mcar_20_fit.sem_task()
,
mvn_mcar_20_fit.sem()
,
mvn_mcar_30_fit.sem_simulation_summary()
,
mvn_mcar_30_fit.sem_simulation()
,
mvn_mcar_30_fit.sem_task_summary()
,
mvn_mcar_30_fit.sem_task()
,
mvn_mcar_30_fit.sem()
,
mvn_mnar_10_fit.sem_simulation_summary()
,
mvn_mnar_10_fit.sem_simulation()
,
mvn_mnar_10_fit.sem_task_summary()
,
mvn_mnar_10_fit.sem_task()
,
mvn_mnar_10_fit.sem()
,
mvn_mnar_20_fit.sem_simulation_summary()
,
mvn_mnar_20_fit.sem_simulation()
,
mvn_mnar_20_fit.sem_task_summary()
,
mvn_mnar_20_fit.sem_task()
,
mvn_mnar_20_fit.sem()
,
mvn_mnar_30_fit.sem_simulation_summary()
,
mvn_mnar_30_fit.sem_simulation()
,
mvn_mnar_30_fit.sem_task_summary()
,
mvn_mnar_30_fit.sem_task()
,
mvn_mnar_30_fit.sem()
,
mvn_std_fit.sem_simulation_summary()
,
mvn_std_fit.sem_simulation()
,
mvn_std_fit.sem_task_summary()
,
mvn_std_fit.sem_task()
,
mvn_std_fit.sem()
,
vm_mod_fit.ols_simulation_summary()
,
vm_mod_fit.ols_simulation()
,
vm_mod_fit.ols_task_summary()
,
vm_mod_fit.ols_task()
,
vm_mod_fit.ols()
,
vm_mod_fit.sem.mlr_simulation_summary()
,
vm_mod_fit.sem.mlr_simulation()
,
vm_mod_fit.sem.mlr_task_summary()
,
vm_mod_fit.sem.mlr_task()
,
vm_mod_fit.sem.mlr()
,
vm_mod_std_fit.sem.mlr_simulation_summary()
,
vm_mod_std_fit.sem.mlr_simulation()
,
vm_mod_std_fit.sem.mlr_task_summary()
,
vm_mod_std_fit.sem.mlr_task()
,
vm_mod_std_fit.sem.mlr()
,
vm_sev_fit.ols_simulation_summary()
,
vm_sev_fit.ols_simulation()
,
vm_sev_fit.ols_task_summary()
,
vm_sev_fit.ols_task()
,
vm_sev_fit.ols()
,
vm_sev_fit.sem.mlr_simulation_summary()
,
vm_sev_fit.sem.mlr_simulation()
,
vm_sev_fit.sem.mlr_task_summary()
,
vm_sev_fit.sem.mlr_task()
,
vm_sev_fit.sem.mlr()
,
vm_sev_std_fit.sem.mlr_simulation_summary()
,
vm_sev_std_fit.sem.mlr_simulation()
,
vm_sev_std_fit.sem.mlr_task_summary()
,
vm_sev_std_fit.sem.mlr_task()
,
vm_sev_std_fit.sem.mlr()
Ivan Jacob Agaloos Pesigan
#> taskid n reps #> 1.000000e+00 1.000000e+03 5.000000e+03 #> taudot beta alpha #> 1.414214e-01 7.140742e-01 7.140742e-01 #> alphabeta sigma2x sigma2epsilonm #> 5.099020e-01 2.250000e+02 1.102721e+02 #> sigma2epsilony mux deltam #> 7.332210e+01 1.000000e+02 2.859258e+01 #> deltay deltayhat taudothat #> 1.445045e+01 1.383392e+01 1.777937e-01 #> betahat deltamhat alphahat #> 6.845960e-01 2.723288e+01 7.256425e-01 #> alphahatbetahat taudothatprime betahatprime #> 4.967719e-01 1.720325e-01 6.805210e-01 #> alphahatprime alphahatprimebetahatprime sigma2xhat #> 7.063331e-01 4.806745e-01 2.067467e+02 #> sigma2hatepsilonmhat sigma2hatepsilonyhat muxhat #> 1.094507e+02 7.565472e+01 9.958881e+01 #> sehatdeltayhat sehattaudothat sehatbetahat #> 2.054801e+00 2.703688e-02 2.631743e-02 #> sehatdeltamhat sehatalphahat sehattaudothatprimetb #> 2.316292e+00 2.302010e-02 2.616078e-02 #> sehatbetahatprimetb sehatalphahatprimetb sehattaudothatprimedelta #> 2.616078e-02 2.240754e-02 2.608506e-02 #> sehatbetahatprimedelta sehatalphahatprimedelta #> 2.306316e-02 1.585391e-02