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rpartScore  

Classification Trees for Ordinal Responses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rpartScore", "1.0-2")



Attach the package and use:
library("rpartScore")
Maintained by
Giuliano Galimberti
[Scholar Profile | Author Map]
First Published: 2012-03-31
Latest Update: 2022-05-25
Description:
Recursive partitioning methods to build classification trees for ordinal responses within the CART framework. Trees are grown using the Generalized Gini impurity function, where the misclassification costs are given by the absolute or squared differences in scores assigned to the categories of the response. Pruning is based on the total misclassification rate or on the total misclassification cost.
How to cite:
Giuliano Galimberti (2012). rpartScore: Classification Trees for Ordinal Responses. R package version 1.0-2, https://cran.r-project.org/web/packages/rpartScore. Accessed 16 Mar. 2025.
Previous versions and publish date:
0.1.1 (2012-03-31 15:13), 1.0-0 (2012-04-25 11:15), 1.0-1 (2012-12-08 12:57)
Other packages that cited rpartScore R package
View rpartScore citation profile
Other R packages that rpartScore depends, imports, suggests or enhances
Complete documentation for rpartScore
Functions, R codes and Examples using the rpartScore R package
Some associated functions: evalMedian . evalMode . initScore . rpartScore-package . rpartScore . splitAbs . splitQuad . 
Some associated R codes: evalMedian.R . evalMode.R . initScore.R . rpartScore.R . splitAbs.R . splitQuad.R .  Full rpartScore package functions and examples
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