lazy.fa {lazy.fa} | R Documentation |
The following are the classes of the functions.
pca_by_als: A demo program of PCA with optimal transformation of data by ALS
fa_hs: ML/LS Solution of Factor Analysis with Homoschedastic Error
efa: Simple Iterative ML or LS Solution to Exploratory Factor Analysis
cfa: Simple Iterative ML or LS Solution to Confirmatory Factor Analysis
est_disp: ML Estimation of Normal Dispersion Matrix.
normalize_fa: Normalization of Factor Score and Factor Pattern Matrices.
planarR: Planar Rotation
obliqueR: Planar Oblique Rotation with grid search of optimal rho.
LS_index: Lorenzo-Seva Loading Simplicity Index
ss_index: sum of off diagonal elements of t(B2)%*%B2
some more available
gendatamfa_A: Generation of Simple Structure Factor Pattern Matrix