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crov

0.3.0

Constrained Regression Model for an Ordinal Response and Ordinal Predictors

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Overview

About
Maintained by Javier EspinosaFirst published 2018-11-023 releasesCRAN page ↗

Fits a constrained regression model for an ordinal response with ordinal predictors and possibly others, Espinosa and Hennig (2019) DOI:10.1007/s11222-018-9842-2. The parameter estimates associated with an ordinal predictor are constrained to be monotonic. If a monotonicity direction (isotonic or antitonic) is not specified for an ordinal predictor by the user, then one of the available methods will either establish it or drop the monotonicity assumption. Two monotonicity tests are also available to test the null hypothesis of monotonicity over a set of parameters associated with an ordinal predictor.

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  • NOTE2026-03-10
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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (3)
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none
Suggests (0)
none
Enhances (0)
none
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Listed in earlier versions (1)
no longer listed · 0.1.3 to 0.3.0
Package Timeline

3 releases. R releases are shown for context.

  • 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
  • 0.3.0Latest
    2023-08-25 · current release · diff ↗
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2.0
    2020-04-09 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.3
    2018-11-02
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-11-02
Total releases
3 / 8 yrs
License
GPL-2 OSI
Download size
26 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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