Other packages > Find by keyword >

ordinalCont  

Ordinal Regression Analysis for Continuous Scales
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ordinalCont", "2.0.2")



Attach the package and use:
library("ordinalCont")
Maintained by
Maurizio Manuguerra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-26
Latest Update: 2020-12-02
Description:
A regression framework for response variables which are continuous self-rating scales such as the Visual Analog Scale (VAS) used in pain assessment, or the Linear Analog Self-Assessment (LASA) scales in quality of life studies. These scales measure subjects' perception of an intangible quantity, and cannot be handled as ratio variables because of their inherent non-linearity. We treat them as ordinal variables, measured on a continuous scale. A function (the g function) connects the scale with an underlying continuous latent variable. The link function is the inverse of the CDF of the assumed underlying distribution of the latent variable. A variety of link functions are currently implemented. Such models are described in Manuguerra et al (2020) .
How to cite:
Maurizio Manuguerra (2015). ordinalCont: Ordinal Regression Analysis for Continuous Scales. R package version 2.0.2, https://cran.r-project.org/web/packages/ordinalCont. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.4 (2015-05-26 08:24), 1.0.2 (2016-12-15 09:05), 1.2.2 (2017-11-30 07:34), 1.2 (2017-06-16 20:10), 1.3.0 (2018-01-10 05:18), 2.0.0 (2018-11-21 06:20), 2.0.1 (2019-02-14 00:20)
Other packages that cited ordinalCont R package
View ordinalCont citation profile
Other R packages that ordinalCont depends, imports, suggests or enhances
Complete documentation for ordinalCont
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
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  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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