plot

plot.bmem

Plot of the bootstrap distribution

Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models. Details about the methods used can be found in these articles. Zhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang (2014) <doi:10.3758/s13428-013-0424-0>.

Zhiyong Zhang

bmem

Mediation Analysis with Missing Data Using Bootstrap

plot.bmem function

<dl> <dt>x</dt>
<dd>A bmem object</dd> <dt>par</dt>
<dd>Name of parameter to be plotted.</dd> <dt>...</dt>
<dd>Options used for the generic plot function.</dd></dl>

Arguments

Author

Plot of the bootstrap distribution — plot.bmem

<dl>

 <dt>x</dt>
<dd>A bmem object</dd>

 <dt>par</dt>
<dd>Name of parameter to be plotted.</dd>

 <dt>...</dt>
<dd>Options used for the generic plot function.</dd>

</dl>

plot.bmem: Plot of the bootstrap distribution

Description

Usage

Value

Arguments

Author

References

See Also