bmem.ci.bca

Bias-corrected and accelerated confidence intervals

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.ci.bca function

<dl> <dt>par.boot</dt>
<dd>A bootstrap object.</dd> <dt>par0</dt>
<dd>Original estimate</dd> <dt>jack</dt>
<dd>A Jackknife object.</dd> <dt>cl</dt>
<dd>Confidence level. Default 0.95.</dd>
 
</dl>

Arguments

Author

Bias-corrected and accelerated confidence intervals — bmem.ci.bca

<dl>

 <dt>par.boot</dt>
<dd>A bootstrap object.</dd>

 <dt>par0</dt>
<dd>Original estimate</dd>

 <dt>jack</dt>
<dd>A Jackknife object.</dd>

 <dt>cl</dt>
<dd>Confidence level. Default 0.95.</dd>
 
</dl>

bmem.ci.bca: Bias-corrected and accelerated confidence intervals

Description

Usage

Value

Arguments

Author

See Also