| array.mult | Array multiplication |
| asSymmetric | Force a matrix to be symmetric |
| bezier | Computation of Bezier curve |
| bracket.prod | Bracket product |
| cg | Solve linear systems using the conjugate gradients method |
| cholupdate | Rank 1 update to Cholesky factorization |
| circulant | Form a symmetric circulant matrix |
| comm.info | Compact information to construct the commutation matrix |
| comm.prod | Matrix multiplication envolving the commutation matrix |
| commutation | Commutation matrix |
| corAR1 | AR(1) correlation structure |
| corCS | Compound symmetry correlation structure |
| cov.MSSD | Mean Square Successive Difference (MSSD) estimator of the... |
| cov.weighted | Weighted covariance matrices |
| dupl.cross | Matrix crossproduct envolving the duplication matrix |
| duplication | Duplication matrix |
| dupl.info | Compact information to construct the duplication matrix |
| dupl.prod | Matrix multiplication envolving the duplication matrix |
| equilibrate | Equilibration of a rectangular or symmetric matrix |
| frank | Frank matrix |
| geomean | Geometric mean |
| hadamard.prod | Hadamard product of two matrices |
| harris.test | Test for variance homogeneity of correlated variables |
| helmert | Helmert matrix |
| is.lower.tri | Check if a matrix is lower or upper triangular |
| jacobi | Solve linear systems using the Jacobi method |
| jarquebera.test | Jarque-Bera test for univariate normality |
| kronecker.prod | Kronecker product on matrices |
| krylov | Computes a Krylov matrix |
| kurtosis | Mardia's multivariate skewness and kurtosis coefficients |
| ldl | The LDL decomposition |
| lu | The LU factorization of a square matrix |
| lu2inv | Inverse from LU factorization |
| lu-methods | Reconstruct the L, U, or X matrices from an LU object |
| Mahalanobis | Mahalanobis distance |
| matrix.inner | Compute the inner product between two rectangular matrices |
| matrix.norm | Compute the norm of a rectangular matrix |
| mchol | The modified Cholesky factorization |
| mediancenter | Mediancenter |
| minkowski | Computes the p-norm of a vector |
| moments | Central moments |
| ols | Fit linear regression model |
| ols.fit | Fitter functions for linear models |
| ols.fit-methods | Fit a linear model |
| power.method | Power method to approximate dominant eigenvalue and... |
| rball | Generation of deviates uniformly distributed in a unitary... |
| ridge | Ridge regression |
| rmnorm | Multivariate normal random deviates |
| rsphere | Generation of deviates uniformly located on a spherical... |
| scaled.condition | Scaled condition number |
| seidel | Solve linear systems using the Gauss-Seidel method |
| sherman.morrison | Sherman-Morrison formula |
| sweep.operator | Gauss-Jordan sweep operator for symmetric matrices |
| symmetrizer | Symmetrizer matrix |
| symm.info | Compact information to construct the symmetrizer matrix |
| symm.prod | Matrix multiplication envolving the symmetrizer matrix |
| vec | Vectorization of a matrix |
| vech | Vectorization the lower triangular part of a square matrix |
| whitening | Whitening transformation |
| WH.normal | Wilson-Hilferty transformation for chi-squared variates |
| wilson.hilferty | Wilson-Hilferty transformation |
