rsem

swMATH6771WikidataQ114077288CRANrsemMaRDI QIDQ18846

Robust Structural Equation Modeling with Missing Data and Auxiliary Variables

Last update: 26 August 2023

Copyright license: GNU General Public License, version 2.0

Software version identifier: 0.5.0, 0.1, 0.2, 0.3.1, 0.4.1, 0.4.3, 0.4.4, 0.4.5, 0.4.6, 0.5.1

Source code repository: https://github.com/cran/rsem

Description

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.

Described by source

Robust structural equation modeling with missing data and auxiliary variables

Related Items (6)

Robust growth mixture models with non-ignorable missingness: models, estimation, selection, and application ⋮ Consistency, bias and efficiency of the normal-distribution-based MLE: the role of auxiliary variables ⋮ bmemLavaan ⋮ coefficientalpha ⋮ An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm ⋮ Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data

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