rsem.lavaan: Conduct robust SEM analysis using lavaan

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

Conduct robust SEM analysis using lavaan

Description

Conduct robust SEM analysis using lavaan

Usage

rsem.lavaan(dset, model, select,  varphi=.1, max.it=1000)

Arguments

dset	A data matrix or a data frame
select	Variables to be seleted for SEM analysis. If omitted, all variables in the data set will be used.
model	The model using lavaan syntax
varphi	Proportion of data to be down-weighted. Default is 0.1.
max.it	Maximum number of iterations for EM. Default is 1000

Details

This function will run the robust analysis and output results.

Author(s)

Ke-Hai Yuan and Zhiyong Zhang

References

Yuan, K.-H., & Zhang, Z. (2012). Robust Structural Equation Modeling with Missing Data and Auxiliary Variables. Psychometrika, 77(4), 803-826.

See Also

rsem.pattern, rsem.emmusig, rsem.Ascov

Examples

 data(mardiamv25)
 names(mardiamv25)<-paste('V', 1:5, sep='')
 
 fa.model<-'f1 =~ V1 + V2
f2 =~ V4 + V5 
f1 ~ 1
f2 ~ 1
V1 ~0*1
V2 ~0*1
V4 ~0*1
V5 ~0*1'

 analysis<-rsem.lavaan(mardiamv25, fa.model, c(1,2,4,5))

rsem documentation built on Aug. 27, 2023, 1:06 a.m.