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MIIVefa

Exploratory Factor Analysis Using Model Implied Instrumental Variables

Data-driven approach for Exploratory Factor Analysis (EFA) that uses Model Implied Instrumental Variables (MIIVs). The method starts with a one factor model and arrives at a suggested model with enhanced interpretability that allows cross-loadings and correlated errors.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 MIIVefa_0.1.2.tar.gz 62.7 KiB
0.1.2 rolling linux/noble R-4.5 MIIVefa_0.1.2.tar.gz 62.6 KiB
0.1.2 rolling source/ R- MIIVefa_0.1.2.tar.gz 50.9 KiB
0.1.2 latest linux/jammy R-4.5 MIIVefa_0.1.2.tar.gz 62.7 KiB
0.1.2 latest linux/noble R-4.5 MIIVefa_0.1.2.tar.gz 62.6 KiB
0.1.2 latest source/ R- MIIVefa_0.1.2.tar.gz 50.9 KiB
0.1.2 2026-04-26 source/ R- MIIVefa_0.1.2.tar.gz 50.9 KiB
0.1.2 2026-04-23 source/ R- MIIVefa_0.1.2.tar.gz 50.9 KiB
0.1.2 2026-04-09 windows/windows R-4.5 MIIVefa_0.1.2.zip 66.6 KiB
0.1.2 2025-04-20 source/ R- MIIVefa_0.1.2.tar.gz 50.9 KiB

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