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MatrixModels (version 0.5-4)

Modelling with Sparse and Dense Matrices

Description

Generalized Linear Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.

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Version

Install

install.packages('MatrixModels')

Monthly Downloads

397,843

Version

0.5-4

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

March 26th, 2025

Functions in MatrixModels (0.5-4)

solveCoef

Solve for the Coefficients or Coefficient Increment
updateMu

Update 'mu', the Fitted Mean Response
reweightPred

Reweight Prediction Module Structure Internals
updateWts

Update the Residual and X Weights - Generic and Methods
Model-class

Mother Class "Model" of all S4 Models
model.Matrix

Construct Possibly Sparse Design or Model Matrices
resid-et-al

Aliases for Model Extractors
modelMatrix-class

Class "modelMatrix" and SubClasses
predModule-class

Class "predModule" and SubClasses
mkRespMod

Create a respModule object
lm.fit.sparse

Fitter Function for Sparse Linear Models
glpModel-class

Class "glpModel" of General Linear Prediction Models
respModule-class

"respModule" and derived classes
glm4

Fitting Generalized Linear Models (using S4)