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ordinalCont

2.0.2Package record

Ordinal Regression Analysis for Continuous Scales

0packages dependsuggested by 2
17.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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) doi:10.18637/jss.v096.i08.

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.0.2
READMEYes · 288 wordsVignettesNoNEWSYes · 33% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
25includes a package overview page
Examples that run
30%3 run in a plain check · 7 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
24%

Downloads

17.7K
CRAN downloads in the past year
Rank #4,596 · ~48/day · ~1.5K/mo
Daily download trend is not available in this view yet.
68630 days
1.8K90 days
17.7K1 year
Compare downloads with other packages →
Also on87 r2u2 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing ordinalCont adds 2 packages (2 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, Deriv 47 KB.

Depends (4)
R >= 3.3.0bootsplinesDeriv
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 2
Suggests, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 0.4 (2015)
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 2.0.2Latest
    record
    2020-12-03 · current release · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 2.0.1
    record
    2019-02-14 · diff ↗ ·
    removed 1 export
    get_gfun.ocm
    added 1 export
    get_gfun
  • 2.0.0
    record
    2018-11-21 · diff ↗ ·
    added 1 export
    get_gfun.ocm
  • R
    R 3.5.0 released · 2018-04-23
  • 1.3.0
    record
    2018-01-10 · diff ↗
  • 1.2.2
    record
    2017-11-30 · diff ↗
  • 1.2
    record
    2017-06-16 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
Show 4 earlier eventsHide 4 earlier events
  • 1.0.2
    record
    2016-12-15 · diff ↗ ·
    removed 1 export
    ocmm
  • R
    R 3.3.0 released · 2016-05-03
  • 0.4
    record
    2015-05-26
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-05-26
Total releases
8 / 11 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.3.0
Bundled data
23 KB / 3 files
Download size
61 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("ordinalCont")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v096.i08.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ordinalCont version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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