summary.bmem

summary

Sumarize the results of function 'bmem'

Methods for mediation analysis with missing data and non-normal data are implemented. For missing data, four methods are available: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included to handle missing data. For handling non-normal data, bootstrap and two-stage robust methods can be used. Technical details of the methods can be found in Zhang and Wang (2013, <doi:10.1007/s11336-012-9301-5>), Zhang (2014, <doi:10.3758/s13428-013-0424-0>), and Yuan and Zhang (2012, <doi:10.1007/s11336-012-9282-4>).

Zhiyong Zhang

bmemLavaan

Mediation Analysis with Missing Data and Non-Normal Data

Shuigen Ming

Hong Zhang

Lijuan Wang

summary.bmem function

<dl> <dt>object</dt>
<dd>An output object from the function <code>bmem</code></dd> <dt>estimates</dt>
<dd>Whether output a more detailed results of parameters and values of statistics</dd> <dt>...</dt>
<dd>other options can be used for the generic summary function.</dd></dl>

Arguments

Sumarize the results of function 'bmem' — summary.bmem

<dl>

 <dt>object</dt>
<dd>An output object from the function <code>bmem</code></dd>

 <dt>estimates</dt>
<dd>Whether output a more detailed results of parameters and values of statistics</dd>

 <dt>...</dt>
<dd>other options can be used for the generic summary function.</dd>

</dl>

summary.bmem: Sumarize the results of function 'bmem'

Description

Usage

Value

Arguments

Details

Examples