MatrixModels v0.4-1


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Modelling with Sparse And Dense Matrices

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

Functions in MatrixModels

Name Description 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
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Last month downloads


Date 2015-08-22
Contact Doug and Martin
Encoding UTF-8
LazyLoad yes
License GPL (>= 2)
NeedsCompilation no
Packaged 2015-08-22 20:32:14 UTC; maechler
Repository CRAN
Date/Publication 2015-08-22 23:37:45

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