Learn R Programming
⚠️There's a newer version (0.5-4) of this package.Take me there.

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.

Copy Link

Version

Install

install.packages('MatrixModels')

Monthly Downloads

364,273

Version

0.4-1

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

August 22nd, 2015

Functions in MatrixModels (0.4-1)

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