rsem.lavaan {rsem} | R Documentation |
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))
[Package rsem version 0.5.1 Index]