modelObj: A Model Object Framework for Regression Analysis
Version 3.0

A utility library to facilitate the generalization of statistical methods built on a regression framework. Package developers can use 'modelObj' methods to initiate a regression analysis without concern for the details of the regression model and the method to be used to obtain parameter estimates. The specifics of the regression step are left to the user to define when calling the function. The user of a function developed within the 'modelObj' framework creates as input a 'modelObj' that contains the model and the R methods to be used to obtain parameter estimates and to obtain predictions. In this way, a user can easily go from linear to non-linear models within the same package.

AuthorShannon T. Holloway
Date of publication2017-05-12 23:29:18 UTC
MaintainerShannon T. Holloway <sthollow@ncsu.edu>
LicenseGPL-2
Version3.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("modelObj")

Getting started

Package overview

Popular man pages

methods-coef: Extract Model Coefficients
methods-fit: Execute Regression Step
methods-fitObject: Retrieve Regression Object
methods-predictor: Retrieve Prediction Method
methods-solver: Retrieve Regression Method.
modelObj: Create an Object of Class modelObj
modelObjFit-class: Class '"modelObjFit"'
See all...

All man pages Function index File listing

Man pages

methods-coef: Extract Model Coefficients
methods-fit: Execute Regression Step
methods-fitObject: Retrieve Regression Object
methods-model: Retrieve model Object
methods-plot: Plotting
methods-predict: Model Prediction.
methods-predictor: Retrieve Prediction Method
methods-predictorArgs: Retrieve Arguments Specified for the Prediction Method
methods-predictorArgs_-: Reset Arguments for Prediction Method
methods-residuals: Extract Model Residuals.
methods-solver: Retrieve Regression Method.
methods-solverArgs: Retrieve Arguments for Regression Method.
methods-solverArgs_-: Reset Arguments for Regression Method
modelObj: Create an Object of Class modelObj
modelObj-class: Class '"modelObj"'
modelObjFit-class: Class '"modelObjFit"'
modelObj-package: A Model Object Framework for Regression Analysis

Functions

Files

inst
inst/doc
inst/doc/modelObj.pdf
inst/doc/modelObj.Rnw
inst/doc/modelObj.R
NAMESPACE
R
R/A05_methodObjSolverXY.R
R/A01_methodObj.R
R/A02_methodObjPredict.R
R/A09_modelObjFit.R
R/A08_modelObjXY.R
R/A06_modelObj.R
R/A07_modelObjFormula.R
R/A00_generics.R
R/A03_methodObjSolver.R
R/modelObj.R
R/A04_methodObjSolverFormula.R
R/warnMsg.R
vignettes
vignettes/modelObj.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/methods-fitObject.Rd
man/methods-solver.Rd
man/methods-predictorArgs_-.Rd
man/modelObj-package.Rd
man/methods-predictor.Rd
man/methods-coef.Rd
man/modelObj.Rd
man/methods-model.Rd
man/methods-plot.Rd
man/methods-predict.Rd
man/methods-solverArgs.Rd
man/methods-fit.Rd
man/methods-solverArgs_-.Rd
man/modelObjFit-class.Rd
man/methods-residuals.Rd
man/methods-predictorArgs.Rd
man/modelObj-class.Rd
modelObj documentation built on May 19, 2017, 3:48 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.