Next Eigenvalue Sufficiency Test

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Documentation for package ‘Rnest’ version 1.0

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achim A list of seven correlation matrices.
achim24 A correlation matrix composed of six factors.
BartlettSphericity Bartlett Sphericity Test
briggs_maccallum2003 A list of three correlation matrices.
caron2016 A list of six correlation matrices composed of nine variables with three factors and different levels of correlations between factors.
caron2019 A list of 15 correlation matrices composed of nine variables with three factors and different levels of correlations between factors.
corFIML Full Information Maximum Likelihood (FIML) correlation or covariance matrix
cormat A list containing 120 correlation matrices.
cormat.l A list containing 120 lists of correlation matrices and their underlying characteristics.
cor_nest Compute covariance or correlation matrix with treatments for clusters and missing values
covFIML Full Information Maximum Likelihood (FIML) correlation or covariance matrix
cov_nest Compute covariance or correlation matrix with treatments for clusters and missing values
EKC Empirical Kaiser Criterion (EKC)
ekc Empirical Kaiser Criterion (EKC)
ex_2factors A correlation matrix composed of 2 factors.
ex_3factors_doub_unique A correlation matrix composed of two factors, a doublet factor and a unique variable.
ex_4factors_corr A correlation matrix composed of 4 correlated factors.
ex_mqr A correlation matrix from chapter 19 Explorer of Méthodes quantitatives avec R (MQR).
genr8 Simplify the the generation from a multivariate normal distributions.
Ledermann Ledermann bound.
loadings Print Loadings in NEST
MAP Minimum average partial correlation (MAP)
map Minimum average partial correlation (MAP)
meek_bouchard A correlation matrix from Meek-Bouchard.
NEST Next Eigenvalue Sufficiency Test (NEST)
nest Next Eigenvalue Sufficiency Test (NEST)
PA Parallel analysis
pa Parallel analysis
plot.nest Plot results of Next Eigenvalues Sufficiency Test (NEST)
print.nest Print results of NEST
remove_unique Remove unique variables
shem Split-Half Eigenvector Matching (SHEM)
summary.nest Summary results of NEST
tabachnick_fidell2019 A covariance matrix composed of 11 variables.
unique_variable Probability of unique variables