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spam  

SPArse Matrix
View on CRAN: Click here


Download and install spam package within the R console
Install from CRAN:
install.packages("spam")

Install from Github:
library("remotes")
install_github("cran/spam")

Install by package version:
library("remotes")
install_version("spam", "2.11-1")



Attach the package and use:
library("spam")
Maintained by
Reinhard Furrer
[Scholar Profile | Author Map]
First Published: 2007-09-08
Latest Update: 2022-08-07
Description:
Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
How to cite:
Reinhard Furrer (2007). spam: SPArse Matrix. R package version 2.11-1, https://cran.r-project.org/web/packages/spam. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.11 (2007-09-08 10:56), 0.12 (2007-09-30 23:27), 0.13-1 (2007-12-05 08:55), 0.13-2 (2008-01-05 18:41), 0.13-3 (2008-04-22 13:19), 0.13 (2007-11-23 09:22), 0.15-0 (2008-06-15 17:44), 0.15-1 (2008-09-06 11:35), 0.15-2 (2008-09-12 08:44), 0.15-3 (2009-02-21 08:51), 0.15-4 (2009-04-15 10:17), 0.15-5 (2009-09-18 22:33), 0.20-2 (2009-12-16 17:07), 0.20-3 (2010-01-13 12:29), 0.21-0 (2010-04-20 10:33), 0.22-0 (2010-06-09 08:38), 0.23-0 (2010-09-02 18:03), 0.27-0 (2011-08-18 17:09), 0.28-0 (2012-01-12 10:24), 0.29-0 (2012-05-01 14:29), 0.29-1 (2012-05-05 11:23), 0.29-2 (2012-08-17 13:09), 0.29-3 (2013-04-24 22:52), 0.30-1 (2013-08-25 21:41), 0.40-0 (2013-09-12 08:23), 0.41-0 (2014-02-26 10:18), 1.0-1 (2014-09-09 15:03), 1.2-1 (2015-09-30 23:46), 1.3-0 (2015-10-29 08:35), 1.4-0 (2016-08-30 15:18), 2.1-0 (2017-07-01 00:15), 2.1-1 (2017-07-03 11:53), 2.1-2 (2017-12-22 14:59), 2.1-3 (2018-03-28 10:24), 2.1-4 (2018-04-12 21:38), 2.2-0 (2018-06-19 19:13), 2.2-1 (2018-12-20 12:40), 2.2-2 (2019-03-08 17:30), 2.3-0.1 (2019-10-26 11:09), 2.3-0.2 (2019-10-28 09:55), 2.3-0 (2019-09-14 23:30), 2.4-0 (2019-11-02 12:00), 2.5-0 (2019-12-06 16:30), 2.5-1 (2019-12-12 18:00), 2.6-0 (2020-12-14 22:30), 2.7-0 (2021-06-26 00:50), 2.8-0 (2022-01-06 08:30), 2.9-0 (2022-07-11 11:00), 2.9-1 (2022-08-07 17:20), 2.10-0 (2023-10-23 11:30), 2.11-0 (2024-10-04 01:00)
Other packages that cited spam R package
View spam citation profile
Other R packages that spam depends, imports, suggests or enhances
Complete documentation for spam
Functions, R codes and Examples using the spam R package
Some associated functions: Coercion . Math . Math2 . Oral . Summary . UScounties . USprecip . adjacency . allequal . apply . bandwidth . bdiag . cbind . chol . circulant . cleanup . coerce-methods . complexity . constructors . covmat . crossprod . det . diag . diff . dim . display . eigen . fields-wrapper . foreign . germany.plot . germanydata . gmult . grid_trace2 . grid_zoom . head . image . import . isSymmetric . kronecker . landkreis . large_matrix . lower.tri . makeprec . methods . mle . nearestdist . options . ordering . pad . permutation . powerboost . precmat . print . random . rgrf . rmvnorm.cond . rmvnorm.const . rmvnorm . rmvt . rowSums . s3only . spam-class . spam-defunct . spam-internal . spam-operations . spam-package . spam-solve . spam.chol.NgPeyton-class . spam . toeplitz . triplet . validate_spam . version . 
Some associated R codes: RcppExports.R . apply.R . constructors.R . covmat.R . definitions.R . defunct.R . diff.R . dim.R . dist.R . eigen.R . foreign.R . gmult.R . helper.R . kronecker.R . math.R . mle.R . norm.R . permutation.R . plotting.R . precmat.R . profile.R . random.R . rep_len64.R . rgrf.R . rmvnorm.R . rowcolstats.R . s3only.R . s4coerce.R . spamBasis.R . spamChol.R . spamCholDet.R . spamCholS4.R . spamlist.R . subset.R . summary.R . tailhead.R . tcrossprod.R . toepliz.R . xybind.R .  Full spam package functions and examples
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