summary.power

Output from the function either <code><a rd-options="" href="/link/power.basic?package=bmem&version=1.5" data-mini-rdoc="bmem::power.basic">power.basic</a></code> or <code><a rd-options="" href="/link/power.boot?package=bmem&version=1.5" data-mini-rdoc="bmem::power.boot">power.boot</a></code>.

object

This function is adpated from the <code><a rd-options="" href="/link/lavaan?package=bmem&version=1.5" data-mini-rdoc="bmem::lavaan">lavaan</a></code> summary function to put the results in a table.

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.

Zhiyong Zhang

bmem

Mediation analysis with missing data using bootstrap

summary.power function

Output from the function either <code><a rd-options='' href='power.basic'>power.basic</a></code> or <code><a rd-options='' href='power.boot'>power.boot</a></code>.

This function is adpated from the <code><a rd-options='' href='lavaan'>lavaan</a></code> summary function to put the results in a table.

summary.power: Organize the results into a table

Description

Usage

Arguments