rsem: Robust Structural Equation Modeling with Missing Data and Auxiliary Variables

This package estimates means and covariance matrix of multiple variables with missing data using Huber weight and then estimates a SEM model using lavaan or EQS.

Package details

AuthorKe-Hai Yuan and Zhiyong Zhang
MaintainerZhiyong Zhang <[email protected]>
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("rsem", repos="")

Try the rsem package in your browser

Any scripts or data that you put into this service are public.

rsem documentation built on May 31, 2017, 1:32 a.m.