Package index • MatrixModels

All functions
`Model-class` `formula,Model-method` `update,Model-method`	Mother Class "Model" of all S4 Models
`glm4()`	Fitting Generalized Linear Models (using S4)
`glpModel-class` `coef,glpModel-method` `fitted,glpModel-method` `residuals,glpModel-method`	Class "glpModel" of General Linear Prediction Models
`lm.fit.sparse()`	Fitter Function for Sparse Linear Models
`mkRespMod()`	Create a respModule object
`model.Matrix()`	Construct Possibly Sparse Design or Model Matrices
`modelMatrix-class` `denseModelMatrix-class` `ddenseModelMatrix-class` `sparseModelMatrix-class` `dsparseModelMatrix-class` `show,modelMatrix-method` `print,modelMatrix-method`	Class "modelMatrix" and SubClasses
`predModule-class` `dPredModule-class` `sPredModule-class` `coerce,ddenseModelMatrix,predModule-method` `coerce,dsparseModelMatrix,predModule-method`	Class "predModule" and SubClasses
`resid,ANY-method` `fitted.values,ANY-method` `coefficients,ANY-method`	Aliases for Model Extractors
`respModule-class` `glmRespMod-class` `nlsRespMod-class` `nglmRespMod-class` `fitted,respModule-method` `residuals,respModule-method` `residuals,glmRespMod-method`	"respModule" and derived classes
`reweightPred()`	Reweight Prediction Module Structure Internals
`solveCoef()`	Solve for the Coefficients or Coefficient Increment
`updateMu()`	Update 'mu', the Fitted Mean Response
`updateWts()`	Update the Residual and X Weights - Generic and Methods

Reference