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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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Version

Install

install.packages('MatrixModels')

Monthly Downloads

444,974

Version

0.5-3

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

November 6th, 2023

Functions in MatrixModels (0.5-3)

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