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

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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.

Author
Ke-Hai Yuan and Zhiyong Zhang
Date of publication
2012-09-27 17:06:32
Maintainer
Zhiyong Zhang <zhiyongzhang@nd.edu>
License
GPL-2
Version
0.4.4
URLs

View on R-Forge

Man pages

mardiamv25
Simulated data
rsem
The main function for robust SEM analysis
rsem.Ascov
Sandwich-type covariance matrix
rsem.DP
Generate a duplication matrix
rsem.emmusig
Robust mean and covariance matrix using Huber-type weight
rsem.fit
Calculate robust test statistics
rsem.gname
Internal function
rsem.index
rsem.index function
rsem.indexv
rsem.indexv function
rsem.indexvc
rsem.indexvc function
rsem-package
Robust Structural Equation Modeling with Missing Data and...
rsem.pattern
Obtaining missing data patterns
rsem.print
Orgnize the output for Lavaan with roubust s.e. and test...
rsem.se
Calculate robust standard errors
rsem.ssq
Calculate the squared sum of a matrix
rsem.switch
swith function
rsem.switch.gamma
Internal function
rsem.vec
Stacking a matrix to a vector
rsem.vech
Stacking lower triange of a matrix to a vector

Files in this package

rsem
rsem/data
rsem/data/mardiamv25_contaminated.txt.gz
rsem/data/mardiamv25.txt.gz
rsem/R
rsem/R/rsem.R
rsem/NAMESPACE
rsem/DESCRIPTION
rsem/man
rsem/man/rsem.indexv.Rd
rsem/man/rsem.DP.Rd
rsem/man/rsem.switch.gamma.Rd
rsem/man/rsem.fit.Rd
rsem/man/rsem.pattern.Rd
rsem/man/rsem-package.Rd
rsem/man/rsem.switch.Rd
rsem/man/mardiamv25.Rd
rsem/man/rsem.indexvc.Rd
rsem/man/rsem.ssq.Rd
rsem/man/rsem.vech.Rd
rsem/man/rsem.vec.Rd
rsem/man/rsem.index.Rd
rsem/man/rsem.emmusig.Rd
rsem/man/rsem.print.Rd
rsem/man/rsem.Rd
rsem/man/rsem.gname.Rd
rsem/man/rsem.Ascov.Rd
rsem/man/rsem.se.Rd