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spam (version 0.20-3)

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

70,523

Version

0.20-3

License

GPL | file LICENSE

Maintainer

Reinhard Furrer

Last Published

January 13th, 2010

Functions in spam (0.20-3)

UScounties

Adjacency structure of the counties in the contiguous United States
det

Calculate the determinant of a positive definite Sparse Matrix
spam solve

Linear Equation Solving for Sparse Matrices
powerboost

Specific options Setting
Oral

Oral Cavity Cancer
chol

Cholesky Factorization for Sparse Matrices
Math

Mathematical functions
isSymmetric

Test if a spam matrix is Symmetric
dim

Dimensions of an Object
options

Options Settings
rmvnorm

Draw Multivariate Normals
version

Spam Version Information
apply

Apply Functions Over Sparse Matrix Margins
adiag

Binds Arrays Corner-to-Corner
diag

Sparse Matrix diagonals
spam internal

Spam internal and auxiliary functions
cbind

Combine spam Matrices by Rows or Columns
history

Brief overview of the history
lower.tri

Lower and Upper Triangular Part of a Sparse Matrix
spam operations

Basic Linear Algebra for Sparse Matrices
USprecip

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

Display a spam Object as Color Image
spam.chol.NgPeyton-class

Class "spam.chol.NgPeyton"
spam

Sparse Matrix Class
triplet

Transform a spam format to triplets
. SPAM .

SPArse Matrix Package
print

Printing and summarizing sparse matrices
kronecker

Kronecker products on sparse matrices
germany

Administrative districts of Germany
todo

Small "ToDo" list
Summary

Rounding of Numbers
display

Graphially represent the nonzero entries
complexity

Complexity for Sparse Matrices
ordering

Extract the permutation
import

Read external matrix formats
allequal

Test if Two 'spam' Objects are (Nearly) Equal
Math2

Rounding of Numbers
spam-class

Class "spam"
nearestdist

Distance Matrix Computation
foreign

Transformation to other sparse formats