spam: A Sparse Matrix R Package with Emphasis on MCMC Methods for Gaussian Markov Random Fields

<b>spam</b> is an <b>R</b> package for sparse matrix algebra with emphasis on a Cholesky factorization of sparse positive definite matrices. The implemantation of <b>spam</b> is based on the competing philosophical maxims to be competitively fast compared to existing tools and to be easy to use, mod...

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Principais autores:	Reinhard Furrer, Stephan R. Sain
格式:	Artigo
语言:	Inglês
出版:	Foundation for Open Access Statistics 2010-10-01
丛编:	Journal of Statistical Software
主题:	Cholesky factorization compactly supported covariance function compressed sparse row format symmetric positive-definite matrix stochastic modeling S3/S4
在线阅读:	http://www.jstatsoft.org/v36/i10/paper
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