bmem.plot

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

bmem.plot 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. This function is replaced by plot. — bmem.plot

<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>

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bmem.plot: Plot of the bootstrap distribution. This function is replaced by plot.

Description

Usage

Value

Arguments

Author

References

See Also