Fungible Coefficients and Monte Carlo Functions


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Documentation for package ‘fungible’ version 1.3

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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
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
rellipsoid Generate Uniformly Spaced OLS Regression Coefficients that Yield a User-Supplied R-Squared Value
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