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

A robust procedure is implemented to estimate means and covariance matrix of multiple variables with missing data using Huber weight and then to estimate a structural equation model.

AuthorKe-Hai Yuan and Zhiyong Zhang
Date of publication2015-05-15 09:20:12
MaintainerZhiyong Zhang <zhiyongzhang@nd.edu>
LicenseGPL-2
Version0.4.6
http://rpackages.psychstat.org

View on CRAN

Functions

mardiamv25 Man page
mardiamv25_contaminated Man page
rsem Man page
rsem.Ascov Man page
rsem.DP Man page
rsem.emmusig Man page
rsem.fit Man page
rsem.gname Man page
rsem.index Man page
rsem.indexv Man page
rsem.indexvc Man page
rsem.lavaan Man page
rsem-package Man page
rsem.pattern Man page
rsem.print Man page
rsem.se Man page
rsem.ssq Man page
rsem.switch Man page
rsem.switch.gamma Man page
rsem.vec Man page
rsem.vech Man page
rsem.weight Man page
semdiag.call.eqs Man page
semdiag.combinations Man page
semdiag.read.eqs Man page
semdiag.run.eqs Man page

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