print.summary.hdbma

print the results from summary.hdbma.

Mediation analysis is used to identify and quantify intermediate effects from factors that intervene the observed relationship between an exposure/predicting variable and an outcome. We use a Bayesian adaptive lasso method to take care of the hierarchical structures and high dimensional exposures or mediators.

Qingzhao Yu

hdbma

Bayesian Mediation Analysis with High-Dimensional Data

Qingzhao Yu 

Bin Li 

print.summary.hdbma function

<dl> <dt>x</dt>
<dd>the results from summary.hdbma.</dd> <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd> <dt>digit</dt>
<dd>the number of digit to be shown.</dd> <dt>method</dt>
<dd>the method to be shown. See the reference.</dd> <dt>RE</dt>
<dd>if true, present results for relative effects. Default is True.</dd></dl>

Arguments

Author

Print — print.summary.hdbma

<dl>

 <dt>x</dt>
<dd>the results from summary.hdbma.</dd>

 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

 <dt>digit</dt>
<dd>the number of digit to be shown.</dd>

 <dt>method</dt>
<dd>the method to be shown. See the reference.</dd>

 <dt>RE</dt>
<dd>if true, present results for relative effects. Default is True.</dd>

</dl>

print.summary.hdbma: Print

Description

Usage

Value

Arguments

Author

References

Examples