| BadRBY |
Improper correlation matrix reported by Bentler and Yuan |
| BadRJN |
Improper R matrix reported by Joseph and Newman |
| BadRKtB |
Improper R matrix reported by Knol and ten Berge |
| BadRLG |
Improper R matrix reported by Lurie and Goldberg |
| BadRRM |
Improper R matrix reported by Rousseeuw and Molenberghs |
| BiFAD |
Bifactor Analysis via Direct Schmid-Leiman (DSL) Transformations |
| bigen |
Generate Correlated Binary Data |
| Boruch70 |
Multi-Trait Multi-Method correlation matrix reported by Boruch, Larkin, Wolins, and MacKinney (1970) |
| Box20 |
Length, width, and height measurements for Thurstone's 20 boxes |
| Box26 |
R matrix for Thurstone's 26 hypothetical box attributes. |
| cb |
Cudeck & Browne (1992) model error method |
| cfi |
Calculate CFI for two correlation matrices |
| CompleteRcvx |
Complete a Partially Specified Correlation Matrix by Convex Optimization |
| CompleteRdev |
Complete a Partially Specified Correlation Matrix by the Method of Differential Evolution |
| CompleteRmap |
Complete a Partially Specified Correlation Matrix by the Method of Alternating Projections |
| corDensity |
Generate the marginal density of a correlation from a uniformly sampled R matrix. |
| corSample |
Sample Correlation Matrices from a Population Correlation Matrix |
| corSmooth |
Smooth a Non PD Correlation Matrix |
| cosMat |
Compute the cosine(s) between either 2 matrices or 2 vectors. |
| faAlign |
Align the columns of two factor loading matrices |
| faBounds |
Bounds on the Correlation Between an External Variable and a Common Factor |
| faEKC |
Calculate Reference Eigenvalues for the Empirical Kaiser Criterion |
| faIB |
Inter-Battery Factor Analysis by the Method of Maximum Likelihood |
| faLocalMin |
Investigate local minima in faMain objects |
| fals |
Unweighted least squares factor analysis |
| faMain |
Automatic Factor Rotation from Random Configurations with Bootstrap Standard Errors |
| faMAP |
Velicer's minimum partial correlation method for determining the number of major components for a principal components analysis or a factor analysis |
| faMB |
Multiple Battery Factor Analysis by Maximum Likelihood Methods |
| fapa |
Iterated Principal Axis Factor Analysis (fapa) |
| fareg |
Regularized Factor Analysis |
| faScores |
Factor Scores |
| faSort |
Sort a factor loadings matrix |
| faStandardize |
Standardize the Unrotated Factor Loadings |
| faX |
Factor Extraction (faX) Routines |
| FMP |
Estimate the coefficients of a filtered monotonic polynomial IRT model |
| FMPMonotonicityCheck |
Utility function for checking FMP monotonicity |
| fsIndeterminacy |
Understanding Factor Score Indeterminacy with Finite Dimensional Vector Spaces |
| fungible |
Generate Fungible Regression Weights |
| fungibleExtrema |
Locate Extrema of Fungible Regression Weights |
| fungibleL |
Generate Fungible Logistic Regression Weights |
| fungibleR |
Generate Fungible Correlation Matrices |
| FUP |
Estimate the coefficients of a filtered unconstrained polynomial IRT model |
| r2d |
Convert Radians to Degrees |
| rarc |
Rotate Points on the Surface on an N-Dimensional Ellipsoid |
| Ravgr |
Generate a random R matrix with an average rij |
| Rbounds |
Generate random R matrices with user-defined bounds on the correlation coefficients via differential evolution (DE). |
| rcone |
Generate a Cone of Regression Coefficient Vectors |
| rcor |
Generate Random PSD Correlation Matrices |
| rellipsoid |
Generate Uniformly Spaced OLS Regression Coefficients that Yield a User-Supplied R-Squared Value |
| restScore |
Plot an ERF using rest scores |
| RGen |
Generate random R matrices with various user-defined properties via differential evolution (DE). |
| rGivens |
Generate Correlation Matrices with Specified Eigenvalues |
| rMAP |
Generate Correlation Matrices with Specified Eigenvalues |
| rmsd |
Root Mean Squared Deviation of (A - B) |
| rmsea |
Calculate RMSEA between two correlation matrices |
| RnpdMAP |
Generate Random NPD R matrices from a user-supplied population R |
| rPCA |
Generate a Correlation Matrix from a Truncated PCA Loadings Matrix. |
| SchmidLeiman |
Schmid-Leiman Orthogonalization to a (Rank-Deficient) Bifactor Structure |
| seBeta |
Standard Errors and CIs for Standardized Regression Coefficients |
| seBetaCor |
Standard Errors and CIs for Standardized Regression Coefficients from Correlations |
| seBetaFixed |
Covariance Matrix and Standard Errors for Standardized Regression Coefficients for Fixed Predictors |
| semify |
Generate an sem model from a simFA model object |
| simFA |
Generate Factor Analysis Models and Data Sets for Simulation Studies |
| skew |
Calculate Univariate Skewness for a Vector or Matrix |
| SLi |
Conduct a Schmid-Leiman Iterated (SLi) Target Rotation |
| smoothAPA |
Smooth a NPD R matrix to PD using the Alternating Projection Algorithm |
| smoothBY |
Smooth an NPD R matrix to PD using the Bentler Yuan 2011 method |
| smoothKB |
Smooth a Non PD Correlation Matrix using the Knol-Berger algorithm |
| smoothLG |
Smooth NPD to Nearest PSD or PD Matrix |
| summary.faMain |
Summary Method for an Object of Class faMain |
| summary.faMB |
Summary Method for an Object of Class faMB |
| summary.monte |
Summary Method for an Object of Class Monte |
| summary.monte1 |
Summary Method for an Object of Class Monte1 |
| svdNorm |
Compute theta surrogates via normalized SVD scores |