Package: MatrixModels 0.6-0
MatrixModels: Modelling with Sparse and Dense Matrices
Generalized Linear Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.
Authors:
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
Last updated 3 days agofrom:ab2850ff08. Checks:1 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 29 2025 |
Exports:coefcoefficientsfittedfitted.valuesformulaglm4mkRespModmodel.MatrixprintresidresidualsreweightPredshowsolveCoefupdateMuupdateWts
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fitting Generalized Linear Models (using S4) | glm4 |
Class "glpModel" of General Linear Prediction Models | coef,glpModel-method fitted,glpModel-method glpModel-class residuals,glpModel-method |
Fitter Function for Sparse Linear Models | lm.fit.sparse |
Create a respModule object | mkRespMod |
Mother Class "Model" of all S4 Models | formula,Model-method Model-class update,Model-method |
Construct Possibly Sparse Design or Model Matrices | model.Matrix |
Class "modelMatrix" and SubClasses | ddenseModelMatrix-class denseModelMatrix-class dsparseModelMatrix-class modelMatrix-class print,modelMatrix-method show,modelMatrix-method sparseModelMatrix-class |
Class "predModule" and SubClasses | coerce,ddenseModelMatrix,predModule-method coerce,dsparseModelMatrix,predModule-method dPredModule-class predModule-class sPredModule-class |
Aliases for Model Extractors | coefficients,ANY-method fitted.values,ANY-method resid,ANY-method |
"respModule" and derived classes | fitted,respModule-method glmRespMod-class nglmRespMod-class nlsRespMod-class residuals,glmRespMod-method residuals,respModule-method respModule-class |
Reweight Prediction Module Structure Internals | reweightPred reweightPred,dPredModule,matrix,numeric-method reweightPred,sPredModule,matrix,numeric-method reweightPred-methods |
Solve for the Coefficients or Coefficient Increment | solveCoef solveCoef,dPredModule-method solveCoef,sPredModule-method solveCoef-methods |
Update 'mu', the Fitted Mean Response | updateMu 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 Methods | updateWts updateWts,glmRespMod-method updateWts,respModule-method updateWts-methods |