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MatrixModels (version 0.4-1)
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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Install
install.packages('MatrixModels')
Monthly Downloads
310,822
Version
0.4-1
License
GPL (>= 2)
Maintainer
Martin Maechler
Last Published
August 22nd, 2015
Functions in MatrixModels (0.4-1)
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lm.fit.sparse
Fitter Function for Sparse Linear Models
predModule-class
Class "predModule" and SubClasses
resid-et-al
Aliases for Model Extractors
solveCoef
Solve for the Coefficients or Coefficient Increment
updateWts
Update the Residual and X Weights - Generic and Methods
reweightPred
Reweight Prediction Module Structure Internals
model.Matrix
Construct Possibly Sparse Design or Model Matrices
Model-class
Mother Class "Model" of all S4 Models
mkRespMod
Create a respModule object
updateMu
Update 'mu', the Fitted Mean Response
modelMatrix-class
Class "modelMatrix" and SubClasses
glm4
Fitting Generalized Linear Models (using S4)
respModule-class
"respModule" and derived classes
glpModel-class
Class "glpModel" of General Linear Prediction Models