Publication: spam: a sparse matrix R package with emphasis on MCMC methods for Gaussian Markov random fields
spam: a sparse matrix R package with emphasis on MCMC methods for Gaussian Markov random fields
Date
Date
Date
Citations
Furrer, R., & Sain, S. R. (2010). spam: a sparse matrix R package with emphasis on MCMC methods for Gaussian Markov random fields. Journal of Statistical Software, 36(10), 1–25. https://doi.org/10.18637/jss.v036.i10
Abstract
Abstract
Abstract
spam is an R package for sparse matrix algebra with emphasis on a Cholesky factorization of sparse positive definite matrices. The implemantation of spam is based on the competing philosophical maxims to be competitively fast compared to existing tools and to be easy to use, modify and extend. The first is addressed by using fast Fortran routines and the second by assuring S3 and S4 compatibility. One of the features of spam is to exploit the algorithmic steps of the Cholesky factorization and hence to perform only a fraction of the w
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
- Sain, S R
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Downloads
Views
Citations
Furrer, R., & Sain, S. R. (2010). spam: a sparse matrix R package with emphasis on MCMC methods for Gaussian Markov random fields. Journal of Statistical Software, 36(10), 1–25. https://doi.org/10.18637/jss.v036.i10
