Other packages > Find by keyword >

modelObj  

A Model Object Framework for Regression Analysis
View on CRAN: Click here


Download and install modelObj package within the R console
Install from CRAN:
install.packages("modelObj")

Install from Github:
library("remotes")
install_github("cran/modelObj")

Install by package version:
library("remotes")
install_version("modelObj", "4.3")



Attach the package and use:
library("modelObj")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-10
Latest Update: 2025-05-03
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.
How to cite:
Shannon T. Holloway (2015). modelObj: A Model Object Framework for Regression Analysis. R package version 4.3, https://cran.r-project.org/web/packages/modelObj. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2015-06-10 19:18), 3.0 (2017-05-13 01:29), 4.0 (2019-02-26 21:50), 4.1 (2021-07-16 21:30), 4.2 (2022-06-07 10:30)
Other packages that cited modelObj R package
View modelObj citation profile
Other R packages that modelObj depends, imports, suggests or enhances
Complete documentation for modelObj
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA