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modelObj (version 4.2)

A Model Object Framework for Regression Analysis

Description

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.

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Version

Install

install.packages('modelObj')

Monthly Downloads

356

Version

4.2

License

GPL-2

Last Published

June 7th, 2022

Functions in modelObj (4.2)

fit

Obtain parameter estimates
predict

Model Predictions
buildModelObj

Create an Object of Class modelObj
predictorArgs

Retrieve Predictor Arguments
modelObj

Class modelObj
modelObjFit-class

Class modelObjFit
solver

Retrieve Solver Method
solverArgs

Retrieve Solver Arguments
fitObject

Retrieve Regression Object
model

Retrieve model
predictor

Retrieve Prediction Method