### Search Results:

Showing results 1 to 10 of 347.

##### Function zeroMeasure[rospca v1.0.4]
keywords
algebra
title
Zero measure
description
Compute the average zero measures and total zero measure for a list of matrices.
##### Function angle[rospca v1.0.4]
keywords
algebra
title
Standardised last principal angle
description
Standardised last principal angle between the subspaces generated by the columns of A and B.
##### Function my.positive.definite.solve[pencopulaCond v0.2]
keywords
algebra
title
my.positive.definite.solve
description
Reverses a quadratic positive definite matrix.
##### Function is.fullrank[limma v3.28.14]
keywords
algebra
title
Check for Full Column Rank
description
Test whether a numeric matrix has full column rank.
##### Function get.eigentraits[cape v2.0.2]
keywords
algebra
title
Calculate eigentraits from phenotype matrix
description
This function performs the singular value decomposition (SVD) on the phenotype matrix after first removing individuals with missing data. The eigentraits are the left singular vectors of the decomposition. This function optionally mean centers and normalizes the phenotype matrix before performing the SVD.
##### Function projections[lspls v0.2-2]
keywords
algebra
title
Projection and Orthogonalisation
description
Functions to project one matrix onto another, or to ortghogonalise it against the other.
##### Function SparseM.solve[SparseM v1.77]
keywords
algebra
title
Linear Equation Solving for Sparse Matrices
description
chol performs a Cholesky decomposition of a symmetric positive definite sparse matrix x of class matrix.csr. backsolve performs a triangular back-fitting to compute the solutions of a system of linear equations in one step. backsolve and forwardsolve can also split the functionality of backsolve into two steps. solve combines chol and backsolve and will compute the inverse of a matrix if the right-hand-side is missing.
##### Function SparseM.ontology[SparseM v1.77]
keywords
algebra
title
Sparse Matrix Class
description
This group of functions evaluates and coerces changes in class structure.
##### Function SparseM.ops[SparseM v1.77]
keywords
algebra
title
Basic Linear Algebra for Sparse Matrices
description
Basic linear algebra operations for sparse matrices of class matrix.csr.
##### Function make.del[mvnmle v0.1-11.1]
keywords
algebra
title
Make the upper triangular matrix del from a parameter vector
description
make.del takes a parameter vector of length $k*(k+1)/2$ and returns the upper triangular $k \times k$ matrix $\Delta$. make.del is a private function intended for use inside mlest.