The software of automated exploratory factor analysis (aefa) framework, to exploring unexplained factor structure with complexly cross-classified multilevel structured data in R environment. This software can be pallelise to multiple computers via LAN even heterogeneous environment, so that applied researchers may expand their research capability more easy with kaefa even data has too complicated structure. This project started in 2013, and restructured in 2017.
|Author||Seongho Bae [aut, cre]|
|Maintainer||Seongho Bae <[email protected]>|
|License||GPL-3 + file LICENSE|
|Package repository||View on GitHub|
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