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| adfCor | Asymptotic Distribution-Free Covariance Matrix of Correlations |
| adfCov | Asymptotic Distribution-Free Covariance Matrix of Covariances |
| bigen | Generate Correlated Binary Data |
| corSample | Sample Correlation Matrices from a Population Correlation Matrix |
| corSmooth | Smooth a Non PD Correlation Matrix |
| d2r | Convert Degrees to Radians |
| eigGen | Generate eigenvalues for R matrices with underlying component structure |
| enhancement | Find OLS Regression Coefficients that Exhibit Enhancement |
| fungible | Generate Fungible Regression Weights |
| fungibleExtrema | Locate Extrema of Fungible Regression Weights |
| fungibleL | Generate Fungible Logistic Regression Weights |
| fungibleR | Generate Fungible Correlation Matrices |
| genCorr | Generate Correlation Matrices with User-Defined Eigenvalues |
| kurt | Calculate Univariate Kurtosis for a Vector or Matrix |
| monte | Simulate Clustered Data with User-Defined Properties |
| monte1 | Simulate Multivariate Non-normal Data by Vale & Maurelli (1983) Method |
| normalCor | Compute Normal-Theory Covariances for Correlations |
| plot.monte | Plot Method for Class Monte |
| print.summary.monte | Summary Method for an Object of Class Monte |
| print.summary.monte1 | Summary Method for an Object of Class Monte1 |
| r2d | Convert Radians to Degrees |
| rarc | Rotate Points on the Surface on an N-Dimensional Ellipsoid |
| 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 |
| rGivens | Generate Correlation Matrices with Specified Eigenvalues |
| rMAP | Generate Correlation Matrices with Specified Eigenvalues |
| 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 |
| skew | Calculate Univariate Skewness for a Vector or Matrix |
| summary.monte | Summary Method for an Object of Class Monte |
| summary.monte1 | Summary Method for an Object of Class Monte1 |
| tetcor | Compute ML Tetrachoric Correlations |
| tetcorQuasi | Correlation between a Naturally and an Artificially Dichotomized Variable |
| vcos | Compute the Cosine Between Two Vectors |
| vnorm | Norm a Vector to Unit Length |