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spam (version 0.21-0)

SPArse Matrix

Description

Set of function for sparse matrix algebra. Differences with SparseM/Matrix are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within GMRF. (4) S3 and S4 like-"compatible" ... and it is fast.

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Version

Install

install.packages('spam')

Monthly Downloads

103,846

Version

0.21-0

License

GPL | file LICENSE

Maintainer

Reinhard Furrer

Last Published

April 20th, 2010

Functions in spam (0.21-0)

UScounties

Adjacency structure of the counties in the contiguous United States
germany

Administrative districts of Germany
Math

Mathematical functions
permutation

Permute a matrix
triplet

Transform a spam format to triplets
complexity

Complexity for Sparse Matrices
image

Display a spam Object as Color Image
powerboost

Specific options Setting
options

Options Settings
history

Brief overview of the history
cbind

Combine spam Matrices by Rows or Columns
Oral

Oral Cavity Cancer
bdiag

Binds Arrays Corner-to-Corner
chol

Cholesky Factorization for Sparse Matrices
spam solve

Linear Equation Solving for Sparse Matrices
spam.chol.NgPeyton-class

Class "spam.chol.NgPeyton"
ordering

Extract the permutation
allequal

Test if Two 'spam' Objects are (Nearly) Equal
. SPAM .

SPArse Matrix Package
bandwidth

Bandwidth of a sparse matrix
USprecip

Monthly total precipitation (mm) for April 1948 in the contiguous United States
import

Read external matrix formats
kronecker

Kronecker products on sparse matrices
print

Printing and summarizing sparse matrices
nearestdist

Distance Matrix Computation
Math2

Rounding of Numbers
todo

Small "ToDo" list
spam operations

Basic Linear Algebra for Sparse Matrices
foreign

Transformation to other sparse formats
isSymmetric

Test if a spam matrix is Symmetric
diag

Sparse Matrix diagonals
det

Calculate the determinant of a positive definite Sparse Matrix
dim

Dimensions of an Object
lower.tri

Lower and Upper Triangular Part of a Sparse Matrix
mle

Maximum likelihood estimates
Summary

Rounding of Numbers
display

Graphially represent the nonzero entries
apply

Apply Functions Over Sparse Matrix Margins
spam-class

Class "spam"
version

Spam Version Information
spam

Sparse Matrix Class
rmvnorm

Draw Multivariate Normals
spam internal

Spam internal and auxiliary functions