MatrixModels: Modelling with Sparse And Dense Matrices

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

Author
Douglas Bates <bates@stat.wisc.edu> and Martin Maechler <maechler@stat.math.ethz.ch>
Date of publication
2015-08-22 23:37:45
Maintainer
Martin Maechler <mmaechler+Matrix@gmail.com>
License
GPL (>= 2)
Version
0.4-1
URLs

View on CRAN

Man pages

glm4
Fitting Generalized Linear Models (using S4)
glpModel-class
Class "glpModel" of General Linear Prediction Models
lm.fit.sparse
Fitter Function for Sparse Linear Models
mkRespMod
Create a respModule object
Model-class
Mother Class "Model" of all S4 Models
model.Matrix
Construct Possibly Sparse Design or Model Matrices
modelMatrix-class
Class "modelMatrix" and SubClasses
predModule-class
Class "predModule" and SubClasses
resid-et-al
Aliases for Model Extractors
respModule-class
"respModule" and derived classes
reweightPred
Reweight Prediction Module Structure Internals
solveCoef
Solve for the Coefficients or Coefficient Increment
updateMu
Update 'mu', the Fitted Mean Response
updateWts
Update the Residual and X Weights - Generic and Methods

Files in this package

MatrixModels
MatrixModels/tests
MatrixModels/tests/MModels.R
MatrixModels/NAMESPACE
MatrixModels/R
MatrixModels/R/AllClass.R
MatrixModels/R/modelMatrix.R
MatrixModels/R/AllGeneric.R
MatrixModels/MD5
MatrixModels/DESCRIPTION
MatrixModels/ChangeLog
MatrixModels/man
MatrixModels/man/glpModel-class.Rd
MatrixModels/man/respModule-class.Rd
MatrixModels/man/modelMatrix-class.Rd
MatrixModels/man/solveCoef.Rd
MatrixModels/man/updateWts.Rd
MatrixModels/man/Model-class.Rd
MatrixModels/man/reweightPred.Rd
MatrixModels/man/glm4.Rd
MatrixModels/man/mkRespMod.Rd
MatrixModels/man/resid-et-al.Rd
MatrixModels/man/lm.fit.sparse.Rd
MatrixModels/man/updateMu.Rd
MatrixModels/man/predModule-class.Rd
MatrixModels/man/model.Matrix.Rd