.paf_iter | R Documentation |
Function called from within PAF so usually no call to this is needed by the user. Provides a C++ implementation of the PAF procedure
.paf_iter(h2, criterion, R, n_fac, abs_eig, crit_type, max_iter)
h2 |
numeric. The initial communality estimates. |
criterion |
double. The convergence criterion to use. |
R |
matrix. The correlation matrix with the initial communality estimates in the diagonal. |
n_fac |
numeric. The number of factors to extract. |
abs_eig |
logical. Whether absolute eigenvalues should be used to compute the loadings. |
crit_type |
numeric. Whether maximum absolute differences (crit_type = 1), or sum of differences (crit_type = 2) should be used |
max_iter |
numeric. The number of iterations after which to end the procedure if no convergence has been reached by then. |
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