Package: MatrixModels 0.6-0

Martin Maechler

MatrixModels: Modelling with Sparse and Dense Matrices

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

Authors:Douglas Bates [aut], Martin Maechler [aut, cre]

MatrixModels_0.6-0.tar.gz


MatrixModels_0.6-0.tar.gz(r-4.4-noble)
MatrixModels_0.6-0.tgz(r-4.4-emscripten)
MatrixModels.pdf |MatrixModels.html
MatrixModels/json (API)

# Install 'MatrixModels' in R:
install.packages('MatrixModels', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/matrix

On CRAN:

Conda:

10.91 score 1 stars 1.5k packages 387k downloads 2 mentions 16 exports 2 dependencies

Last updated 3 days agofrom:ab2850ff08. Checks:1 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 29 2025

Exports:coefcoefficientsfittedfitted.valuesformulaglm4mkRespModmodel.MatrixprintresidresidualsreweightPredshowsolveCoefupdateMuupdateWts

Dependencies:latticeMatrix

Readme and manuals

Help Manual

Help pageTopics
Fitting Generalized Linear Models (using S4)glm4
Class "glpModel" of General Linear Prediction Modelscoef,glpModel-method fitted,glpModel-method glpModel-class residuals,glpModel-method
Fitter Function for Sparse Linear Modelslm.fit.sparse
Create a respModule objectmkRespMod
Mother Class "Model" of all S4 Modelsformula,Model-method Model-class update,Model-method
Construct Possibly Sparse Design or Model Matricesmodel.Matrix
Class "modelMatrix" and SubClassesddenseModelMatrix-class denseModelMatrix-class dsparseModelMatrix-class modelMatrix-class print,modelMatrix-method show,modelMatrix-method sparseModelMatrix-class
Class "predModule" and SubClassescoerce,ddenseModelMatrix,predModule-method coerce,dsparseModelMatrix,predModule-method dPredModule-class predModule-class sPredModule-class
Aliases for Model Extractorscoefficients,ANY-method fitted.values,ANY-method resid,ANY-method
"respModule" and derived classesfitted,respModule-method glmRespMod-class nglmRespMod-class nlsRespMod-class residuals,glmRespMod-method residuals,respModule-method respModule-class
Reweight Prediction Module Structure InternalsreweightPred reweightPred,dPredModule,matrix,numeric-method reweightPred,sPredModule,matrix,numeric-method reweightPred-methods
Solve for the Coefficients or Coefficient IncrementsolveCoef solveCoef,dPredModule-method solveCoef,sPredModule-method solveCoef-methods
Update 'mu', the Fitted Mean ResponseupdateMu updateMu,glmRespMod,numeric-method updateMu,nglmRespMod,numeric-method updateMu,nlsRespMod,numeric-method updateMu,respModule,numeric-method updateMu-methods
Update the Residual and X Weights - Generic and MethodsupdateWts updateWts,glmRespMod-method updateWts,respModule-method updateWts-methods