R/mvn_complete_unstd_ols_mc.mvn.R
mvn_ols_mc.mvn.Rd
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
mvn_ols_mc.mvn( taskid, R = 20000L, alphahat, sehatalphahat, betahat, sehatbetahat )
taskid | Numeric. Task ID. |
---|---|
R | Integer. Monte Carlo replications. |
alphahat | Numeric.
Estimated slope of path from |
sehatalphahat | Numeric.
Estimated standard error of slope of path from |
betahat | Numeric.
Estimated slope of path from |
sehatbetahat | Numeric.
Estimated standard error of slope of path from |
Other monte carlo method functions:
beta_ols_mc.mvn_pcci_simulation()
,
beta_ols_mc.mvn_pcci_task()
,
beta_ols_mc.mvn_simulation()
,
beta_ols_mc.mvn_task()
,
beta_ols_mc.mvn()
,
exp_ols_mc.mvn_pcci_simulation()
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exp_ols_mc.mvn_pcci_task()
,
exp_ols_mc.mvn_simulation()
,
exp_ols_mc.mvn_task()
,
exp_ols_mc.mvn()
,
mc.mvn()
,
mc.t()
,
mc.wishart()
,
mvn_mar_10_mc.mvn_pcci_simulation()
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mvn_mar_10_mc.mvn_pcci_task()
,
mvn_mar_10_mc.mvn_simulation()
,
mvn_mar_10_mc.mvn_task()
,
mvn_mar_10_mc.mvn()
,
mvn_mar_20_mc.mvn_pcci_simulation()
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mvn_mar_20_mc.mvn_pcci_task()
,
mvn_mar_20_mc.mvn_simulation()
,
mvn_mar_20_mc.mvn_task()
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mvn_mar_20_mc.mvn()
,
mvn_mar_30_mc.mvn_pcci_simulation()
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mvn_mar_30_mc.mvn_pcci_task()
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mvn_mar_30_mc.mvn_simulation()
,
mvn_mar_30_mc.mvn_task()
,
mvn_mar_30_mc.mvn()
,
mvn_mcar_10_mc.mvn_pcci_simulation()
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mvn_mcar_10_mc.mvn_pcci_task()
,
mvn_mcar_10_mc.mvn_simulation()
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mvn_mcar_10_mc.mvn_task()
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mvn_mcar_10_mc.mvn()
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mvn_mcar_20_mc.mvn_pcci_simulation()
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mvn_mcar_20_mc.mvn_pcci_task()
,
mvn_mcar_20_mc.mvn_simulation()
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mvn_mcar_20_mc.mvn_task()
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mvn_mcar_20_mc.mvn()
,
mvn_mcar_30_mc.mvn_pcci_simulation()
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mvn_mcar_30_mc.mvn_pcci_task()
,
mvn_mcar_30_mc.mvn_simulation()
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mvn_mcar_30_mc.mvn_task()
,
mvn_mcar_30_mc.mvn()
,
mvn_mnar_10_mc.mvn_pcci_simulation()
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mvn_mnar_10_mc.mvn_pcci_task()
,
mvn_mnar_10_mc.mvn_simulation()
,
mvn_mnar_10_mc.mvn_task()
,
mvn_mnar_10_mc.mvn()
,
mvn_mnar_20_mc.mvn_pcci_simulation()
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mvn_mnar_20_mc.mvn_pcci_task()
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mvn_mnar_20_mc.mvn_simulation()
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mvn_mnar_20_mc.mvn_task()
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mvn_mnar_20_mc.mvn()
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mvn_mnar_30_mc.mvn_pcci_simulation()
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mvn_mnar_30_mc.mvn_pcci_task()
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mvn_mnar_30_mc.mvn_simulation()
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mvn_mnar_30_mc.mvn_task()
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mvn_mnar_30_mc.mvn()
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mvn_ols_mc.mvn_pcci_simulation()
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mvn_ols_mc.mvn_pcci_task()
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mvn_ols_mc.mvn_simulation()
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mvn_ols_mc.mvn_task()
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mvn_sem_mc.mvn_pcci_simulation()
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mvn_sem_mc.mvn_pcci_task()
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mvn_sem_mc.mvn_simulation()
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mvn_sem_mc.mvn_task()
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mvn_sem_mc.mvn()
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mvn_std_mc.mvn.delta_pcci_simulation()
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mvn_std_mc.mvn.delta_pcci_task()
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mvn_std_mc.mvn.delta_simulation()
,
mvn_std_mc.mvn.delta_task()
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mvn_std_mc.mvn.delta()
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mvn_std_mc.mvn.sem_pcci_simulation()
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mvn_std_mc.mvn.sem_pcci_task()
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mvn_std_mc.mvn.sem_simulation()
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mvn_std_mc.mvn.sem_task()
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mvn_std_mc.mvn.sem()
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mvn_std_mc.mvn.tb_pcci_simulation()
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mvn_std_mc.mvn.tb_pcci_task()
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mvn_std_mc.mvn.tb_simulation()
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mvn_std_mc.mvn.tb_task()
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mvn_std_mc.mvn.tb()
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mvn_std_mc.wishart_pcci_simulation()
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mvn_std_mc.wishart_pcci_task()
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mvn_std_mc.wishart_simulation()
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mvn_std_mc.wishart_task()
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mvn_std_mc.wishart()
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vm_mod_ols_mc.mvn_pcci_simulation()
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vm_mod_ols_mc.mvn_pcci_task()
,
vm_mod_ols_mc.mvn_simulation()
,
vm_mod_ols_mc.mvn_task()
,
vm_mod_ols_mc.mvn()
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vm_mod_sem_mc.mvn_pcci_simulation()
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vm_mod_sem_mc.mvn_pcci_task()
,
vm_mod_sem_mc.mvn_simulation()
,
vm_mod_sem_mc.mvn_task()
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vm_mod_sem_mc.mvn()
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vm_sev_ols_mc.mvn_pcci_simulation()
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vm_sev_ols_mc.mvn_pcci_task()
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vm_sev_ols_mc.mvn_simulation()
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vm_sev_ols_mc.mvn_task()
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vm_sev_ols_mc.mvn()
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vm_sev_sem_mc.mvn_pcci_simulation()
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vm_sev_sem_mc.mvn_pcci_task()
,
vm_sev_sem_mc.mvn_simulation()
,
vm_sev_sem_mc.mvn_task()
,
vm_sev_sem_mc.mvn()
Ivan Jacob Agaloos Pesigan
#> [1] 0.4926722fit <- mvn_fit.ols(data = data, taskid = taskid) thetahatstar <- mvn_ols_mc.mvn( taskid = taskid, R = 20000L, alphahat = fit["alphahat"], sehatalphahat = fit["sehatalphahat"], betahat = fit["betahat"], sehatbetahat = fit["sehatbetahat"] ) hist(thetahatstar)