R/vm_mod_complete_unstd_fit.ols.R
vm_mod_fit.ols.Rd
Fit Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Ordinary Least Squares
vm_mod_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.ols()
,
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.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 1.390304e+01 1.628438e-01 #> betahat deltamhat alphahat #> 6.980992e-01 2.318916e+01 7.704353e-01 #> alphahatbetahat taudothatprime betahatprime #> 5.378403e-01 1.571733e-01 7.066860e-01 #> alphahatprime alphahatprimebetahatprime sigma2xhat #> 7.345722e-01 5.191119e-01 2.239052e+02 #> sigma2hatepsilonmhat sigma2hatepsilonyhat muxhat #> 1.135119e+02 7.531157e+01 1.004930e+02 #> sehatdeltayhat sehattaudothat sehatbetahat #> 1.957804e+00 2.704249e-02 2.578368e-02 #> sehatdeltamhat sehatalphahat sehattaudothatprimetb #> 2.288753e+00 2.252713e-02 2.610082e-02 #> sehatbetahatprimetb sehatalphahatprimetb sehattaudothatprimedelta #> 2.610082e-02 2.147851e-02 2.604825e-02 #> sehatbetahatprimedelta sehatalphahatprimedelta #> 2.301672e-02 1.456654e-02