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MatrixModels  

Modelling with Sparse and Dense Matrices
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MatrixModels", "0.5-3")



Attach the package and use:
library("MatrixModels")
Maintained by
Martin Maechler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-08-05
Latest Update: 2023-11-06
Description:
Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.
How to cite:
Martin Maechler (2010). MatrixModels: Modelling with Sparse and Dense Matrices. R package version 0.5-3, https://cran.r-project.org/web/packages/MatrixModels. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1-1 (2010-08-05 22:52), 0.2-1 (2010-09-21 10:14), 0.3-1.1 (2014-02-12 09:24), 0.3-1 (2012-01-12 17:32), 0.4-0 (2015-01-14 06:22), 0.4-1 (2015-08-22 23:37), 0.5-0 (2021-03-02 13:10), 0.5-1 (2022-09-11 08:02), 0.5-2 (2023-07-11 01:40)
Other packages that cited MatrixModels R package
View MatrixModels citation profile
Other R packages that MatrixModels depends, imports, suggests or enhances
Complete documentation for MatrixModels
Functions, R codes and Examples using the MatrixModels R package
Some associated functions: Model-class . glm4 . glpModel-class . lm.fit.sparse . mkRespMod . model.Matrix . modelMatrix-class . predModule-class . resid-et-al . respModule-class . reweightPred . solveCoef . updateMu . updateWts . 
Some associated R codes: AllClass.R . AllGeneric.R . modelMatrix.R .  Full MatrixModels package functions and examples
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