# Extra Methods for Sparse Matrices

## Documentation for package ‘MatrixExtra’ version 0.1.15

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

MatrixExtra-package | MatrixExtra package
%%-method | Mathematical operators on sparse matrices and sparse vectors
%*%-method | Multithreaded Sparse-Dense Matrix and Vector Multiplications
%/%-method | Mathematical operators on sparse matrices and sparse vectors
&-method | Mathematical operators on sparse matrices and sparse vectors
*-method | Mathematical operators on sparse matrices and sparse vectors
+-method | Mathematical operators on sparse matrices and sparse vectors
--method | Mathematical operators on sparse matrices and sparse vectors
/-method | Mathematical operators on sparse matrices and sparse vectors
abs-method | Mathematical functions for CSR and COO matrices
as.coo.matrix | Conversions between matrix types
as.csc.matrix | Conversions between matrix types
as.csr.matrix | Conversions between matrix types
as.sparse.vector | Conversions between matrix types
assignment | Assignment operator for CSR matrices
atanh-method | Mathematical functions for CSR and COO matrices
cbind2-method | Concatenate sparse matrices by columns
ceiling-method | Mathematical functions for CSR and COO matrices
check_sparse_matrix | Check if the underlying data behind a sparse matrix constitutes a valid object
conversions | Conversions between matrix types
crossprod-method | Multithreaded Sparse-Dense Matrix and Vector Multiplications
csr-linalg | Linear Algebra functions for CSR matrices
deepcopy_sparse_object | Deep copy sparse matrices and vectors
diag-method | Linear Algebra functions for CSR matrices
diag<--method | Linear Algebra functions for CSR matrices
emptySparse | Create Empty Sparse Matrix
expm1-method | Mathematical functions for CSR and COO matrices
filterSparse | Filter values of a sparse matrix or vector
floor-method | Mathematical functions for CSR and COO matrices
log1p-method | Mathematical functions for CSR and COO matrices
mapSparse | Map values of a sparse matrix/vector
mathematical-functions | Mathematical functions for CSR and COO matrices
matmult | Multithreaded Sparse-Dense Matrix and Vector Multiplications
MatrixExtra | MatrixExtra package
MatrixExtra-options | MatrixExtra internal options
norm-method | Linear Algebra functions for CSR matrices
operators | Mathematical operators on sparse matrices and sparse vectors
print-method | Quick Glance at Sparse Objects
rbind2-method | Concatenate sparse matrices/vectors by rows
rbind_csr | Concatenate inputs by rows into a CSR matrix
remove_sparse_zeros | Remove Zeros from a Sparse Matrix or Sparse Vector
restore_old_matrix_behavior | MatrixExtra internal options
round-method | Mathematical functions for CSR and COO matrices
set_new_matrix_behavior | MatrixExtra internal options
show | Quick Glance at Sparse Objects
show-method | Quick Glance at Sparse Objects
sign-method | Mathematical functions for CSR and COO matrices
signif-method | Mathematical functions for CSR and COO matrices
sin-method | Mathematical functions for CSR and COO matrices
sinh-method | Mathematical functions for CSR and COO matrices
slice | Sparse Matrices Slicing
sort_sparse_indices | Sort the indices of a sparse matrix or sparse vector
sqrt-method | Mathematical functions for CSR and COO matrices
t-method | Transpose a sparse matrix by changing its format
tan-method | Mathematical functions for CSR and COO matrices
tanh-method | Mathematical functions for CSR and COO matrices
tanpi-method | Mathematical functions for CSR and COO matrices
tcrossprod-method | Multithreaded Sparse-Dense Matrix and Vector Multiplications
trunc-method | Mathematical functions for CSR and COO matrices
t_deep | Transpose a sparse matrix by changing its format
t_shallow | Transpose a sparse matrix by changing its format
[-method | Sparse Matrices Slicing
[<--method | Assignment operator for CSR matrices
^-method | Mathematical operators on sparse matrices and sparse vectors
|-method | Mathematical operators on sparse matrices and sparse vectors