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crov  

Constrained Regression Model for an Ordinal Response and Ordinal Predictors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("crov", "0.3.0")



Attach the package and use:
library("crov")
Maintained by
Javier Espinosa
[Scholar Profile | Author Map]
First Published: 2018-11-02
Latest Update: 2023-08-25
Description:
Fits a constrained regression model for an ordinal response with ordinal predictors and possibly others, Espinosa and Hennig (2019) . 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.
How to cite:
Javier Espinosa (2018). crov: Constrained Regression Model for an Ordinal Response and Ordinal Predictors. R package version 0.3.0, https://cran.r-project.org/web/packages/crov. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.3 (2018-11-02 20:00), 0.2.0 (2020-04-09 20:20)
Other packages that cited crov R package
View crov citation profile
Other R packages that crov depends, imports, suggests or enhances
Complete documentation for crov
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