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 |
constructX |
Reconstruct the L, U, or X matrices from an LU object |
corAR1 |
AR(1) correlation structure |
corCS |
Compound symmetry correlation structure |
cov.MSSD |
Mean Square Successive Difference (MSSD) estimator of the covariance matrix |
cov.weighted |
Weighted covariance matrices |
dupl.cross |
Matrix crossproduct envolving the duplication matrix |
dupl.info |
Compact information to construct the duplication matrix |
dupl.prod |
Matrix multiplication envolving the duplication matrix |
duplication |
Duplication matrix |
equilibrate |
Equilibration of a rectangular or symmetric matrix |
extractL |
Reconstruct the L, U, or X matrices from an LU object |
extractU |
Reconstruct the L, U, or X matrices from an LU object |
frank |
Frank matrix |
geomean |
Geometric mean |
hadamard |
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 |
is.lu |
The LU factorization of a square matrix |
is.upper.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 |
lu.default |
The LU factorization of a square matrix |
lu2inv |
Inverse from LU factorization |
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.cg |
Fit a linear model |
ols.fit.chol |
Fit a linear model |
ols.fit.qr |
Fit a linear model |
ols.fit.svd |
Fit a linear model |
ols.fit.sweep |
Fit a linear model |
power.method |
Power method to approximate dominant eigenvalue and eigenvector |
rball |
Generation of deviates uniformly distributed in a unitary ball |
ridge |
Ridge regression |
rmnorm |
Multivariate normal random deviates |
rsphere |
Generation of deviates uniformly located on a spherical surface |
scaled.condition |
Scaled condition number |
seidel |
Solve linear systems using the Gauss-Seidel method |
sherman.morrison |
Sherman-Morrison formula |
skewness |
Mardia's multivariate skewness and kurtosis coefficients |
solve.lu |
The LU factorization of a square matrix |
sweep.operator |
Gauss-Jordan sweep operator for symmetric matrices |
symm.info |
Compact information to construct the symmetrizer matrix |
symm.prod |
Matrix multiplication envolving the symmetrizer matrix |
symmetrizer |
Symmetrizer matrix |
vec |
Vectorization of a matrix |
vech |
Vectorization the lower triangular part of a square matrix |
WH.normal |
Wilson-Hilferty transformation for chi-squared variates |
whitening |
Whitening transformation |
wilson.hilferty |
Wilson-Hilferty transformation |