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MatrixModels (version 0.5-3)
Modelling with Sparse and Dense Matrices
Description
Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.
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Install
install.packages('MatrixModels')
Monthly Downloads
405,082
Version
0.5-3
License
GPL (>= 2)
Homepage
https://Matrix.R-forge.R-project.org/
Maintainer
Martin Maechler
Last Published
November 6th, 2023
Functions in MatrixModels (0.5-3)
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solveCoef
Solve for the Coefficients or Coefficient Increment
mkRespMod
Create a respModule object
resid-et-al
Aliases for Model Extractors
predModule-class
Class "predModule" and SubClasses
respModule-class
"respModule" and derived classes
Model-class
Mother Class "Model" of all S4 Models
modelMatrix-class
Class "modelMatrix" and SubClasses
updateWts
Update the Residual and X Weights - Generic and Methods
reweightPred
Reweight Prediction Module Structure Internals
glm4
Fitting Generalized Linear Models (using S4)
lm.fit.sparse
Fitter Function for Sparse Linear Models
updateMu
Update 'mu', the Fitted Mean Response
glpModel-class
Class "glpModel" of General Linear Prediction Models
model.Matrix
Construct Possibly Sparse Design or Model Matrices