Modelling with Sparse and Dense Matrices
Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.
Mother Class "Model" of all S4 Models
Fitting Generalized Linear Models (using S4)
Class "glpModel" of General Linear Prediction Models
Fitter Function for Sparse Linear Models
Create a respModule object
Construct Possibly Sparse Design or Model Matrices
Class "modelMatrix" and SubClasses
Class "predModule" and SubClasses
Aliases for Model Extractors
"respModule" and derived classes
Reweight Prediction Module Structure Internals
Solve for the Coefficients or Coefficient Increment
Update 'mu', the Fitted Mean Response
Update the Residual and X Weights - Generic and Methods
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