Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 10 of 14 found.
[1] < 1 2 > [2]  Sort:

glpModel-class (Package: MatrixModels) : Class "glpModel" of General Linear Prediction Models

The class "glpModel" conceptually contains a very large class of “General Linear Prediction Models”.
● Data Source: CranContrib
● Keywords: classes
● Alias: coef,glpModel-method, fitted,glpModel-method, glpModel-class, residuals,glpModel-method
● 0 images

respModule-class (Package: MatrixModels) : "respModule" and derived classes

The "respModule" class is the virtual base class of response modules for glpModel model objects. Classes that inherit from "respModule" include glmRespMod, for generalized linear models, nlsRespMod, for nonlinear models and nglmRespMod for generalized nonlinear models.
● Data Source: CranContrib
● Keywords: classes
● Alias: fitted,respModule-method, glmRespMod-class, nglmRespMod-class, nlsRespMod-class, residuals,glmRespMod-method, residuals,respModule-method, respModule-class
● 0 images

modelMatrix-class (Package: MatrixModels) : Class "modelMatrix" and SubClasses

The class "modelMatrix" and notably its subclass "dsparseModelMatrix" are used to encode additional information, analogously to what the standard R function model.matrix() returns.
● Data Source: CranContrib
● Keywords: classes
● Alias: ddenseModelMatrix-class, denseModelMatrix-class, dsparseModelMatrix-class, modelMatrix-class, sparseModelMatrix-class
● 0 images

solveCoef (Package: MatrixModels) : Solve for the Coefficients or Coefficient Increment

The squared length of the intermediate solution is attached as an attribute of the returned value.
● Data Source: CranContrib
● Keywords: methods, regression
● Alias: solveCoef, solveCoef,dPredModule-method, solveCoef,sPredModule-method, solveCoef-methods
● 0 images

updateWts (Package: MatrixModels) : Update the Residual and X Weights - Generic and Methods

Update the residual weights sqrtrwt and X weights sqrtXwt.
● Data Source: CranContrib
● Keywords: methods, regression
● Alias: updateWts, updateWts,glmRespMod-method, updateWts,respModule-method, updateWts-methods
● 0 images

Model-class (Package: MatrixModels) : Mother Class "Model" of all S4 Models

Class "Model" is meant to be the mother class of all (S4) model classes. As some useful methods are already defined for "Model" objects, derived classes inherit those “for free”.
● Data Source: CranContrib
● Keywords: classes
● Alias: Model-class, formula,Model-method, update,Model-method
● 0 images

reweightPred (Package: MatrixModels) : Reweight Prediction Module Structure Internals

Update any internal structures associated with sqrtXwt and the weighted residuals. The "V" matrix is evaluated from X using the sqrtXwt matrix and a Vtr vector is calculated.
● Data Source: CranContrib
● Keywords: methods, regression
● Alias: reweightPred, reweightPred,dPredModule,matrix,numeric-method, reweightPred,sPredModule,matrix,numeric-method, reweightPred-methods
● 0 images

glm4 (Package: MatrixModels) : Fitting Generalized Linear Models (using S4)

glm4, very similarly as standard R's glm() is used to fit generalized linear models, specified by giving a symbolic description of the linear predictor and a description of the error distribution.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: glm4
● 0 images

mkRespMod (Package: MatrixModels) : Create a respModule object

Create a respModule object, which could be from a derived class such as glmRespMod or nlsRespMod.
● Data Source: CranContrib
● Keywords: models
● Alias: mkRespMod
● 0 images

resid-et-al (Package: MatrixModels) : Aliases for Model Extractors

Aliases for model extractors; it is an old S and R tradition to have aliases for these three model extractor functions:
● Data Source: CranContrib
● Keywords: models
● Alias: coefficients,ANY-method, fitted.values,ANY-method, resid,ANY-method
● 0 images