Re: [R] Factor analysis and cfa with asymptotically distributed data

Jane, >> Does someone know how to do fa and cfa with strong skewed data? Your best option might be to use a robustly estimated covariance matrix as input (see packages robust/robustbase). Or you could turn to packages FAiR or lavaan (maybe also OpenMx). Or you could try soft modelling via packa

[R] Factor analysis and cfa with asymptotically distributed data

I have friendship data which is strong skewed. So it doesn't make sense to use maximum likelihood methods for fa and cfa. But I couldn't find any function for asymptotically distributed data for doing a factor analysis. Only: apca() but there is no possibility to allow for factor correlations.