efa_from_synthesis.RdFits an exploratory factor analysis model from a synthesized correlation matrix
extracted from a fitted mars object.
efa_from_synthesis(
mars_object,
n_factors = 1L,
rotation = "varimax",
num_obs = NULL,
synthesis_method = c("model", "average", "weighted"),
synthesis_transform = c("none", "fisher_z"),
missing_corr = c("available", "pairwise", "em"),
attenuation = c("none", "correct"),
reliability = NULL,
reliability_missing = c("error", "skip", "impute_mean", "assume_1"),
pd_adjust = c("none", "eigen_clip", "nearpd"),
pd_tol = 1e-08,
...
)A fitted object returned by mars.
Number of latent factors for EFA.
Rotation used by factanal.
Optional sample size used by factanal.
Defaults to mars_object$sample_size.
Correlation synthesis method: "model",
"average", or "weighted".
Optional pooling transform for
"average"/"weighted": "none" or "fisher_z".
Missing-correlation handling for synthesized matrices:
"available", "pairwise", or "em".
Attenuation-correction mode for synthesized correlations:
"none" or "correct".
Reliability input used when attenuation = "correct".
Strategy for missing reliability values:
"error", "skip", "impute_mean", or "assume_1".
Positive-definite repair for synthesized correlations:
"none", "eigen_clip", or "nearpd".
Minimum eigenvalue tolerance used by
pd_adjust = "eigen_clip".
Additional arguments passed to factanal.
An object of class efa_mars.