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MatrixModels (version 0.2-1)

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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Version

Install

install.packages('MatrixModels')

Monthly Downloads

541,343

Version

0.2-1

License

GPL (>= 2)

Maintainer

Doug

Last Published

September 21st, 2010

Functions in MatrixModels (0.2-1)

resid-et-al

Aliases for Model Extractors
modelMatrix-class

Class "modelMatrix" and SubClasses
mkRespMod

Create a respModule object
getCall

Get 'call' Component of an R Object
glpModel-class

Class "glpModel" of General Linear Prediction Models
model.Matrix

Construct Possibly Sparse Design or Model Matrices
glm4

Fitting Generalized Linear Models (using S4)
updateWts

Update the Residual and X Weights - Generic and Methods
Model-class

Mother Class "Model" all S4 Models
updateMu

Update 'mu', the Fitted Mean Response
solveCoef

Solve for the Coefficients or Coefficient Increment
predModule-class

Class "predModule" and SubClasses
respModule-class

"respModule" and derived classes
reweightPred

Reweight Prediction Module Structure Internals
lm.fit.sparse

Fitter Function for Sparse Linear Models