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CaseBasedReasoning
View on CRAN: Click
here
Download and install CaseBasedReasoning package within the R console
Install from CRAN:
install.packages("CaseBasedReasoning")
Install from Github:
library("remotes")
install_github("cran/CaseBasedReasoning")
Install by package version:
library("remotes")
install_version("CaseBasedReasoning", "0.3")
Attach the package and use:
library("CaseBasedReasoning")
Maintained by
Simon Mueller
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.CaseBasedReasoning . CaseBasedReasoning results . CaseBasedReasoning.pdf . CaseBasedReasoning_0.3.tar.gz . CaseBasedReasoning_0.3.zip . CaseBasedReasoning_0.3.zip . CaseBasedReasoning_0.3.zip . CaseBasedReasoning_0.3.tgz . CaseBasedReasoning_0.3.tgz . CaseBasedReasoning_0.3.tgz . CaseBasedReasoning_0.3.tgz . CaseBasedReasoning archive . https://CRAN.R-project.org/package=CaseBasedReasoning .
First Published: 2018-06-12
Latest Update: 2023-05-02
Description:
Case-based reasoning is a problem-solving methodology that involves solving a new problem by referring to the solution of a similar problem in a large set of previously solved problems. The key aspect of Case Based Reasoning is to determine the problem that "most closely" matches the new problem at hand. This is achieved by defining a family of distance functions and using these distance functions as parameters for local averaging regression estimates of the final result. The optimal distance function is chosen based on a specific error measure used in regression estimation. This approach allows for efficient problem-solving by leveraging past experiences and adapting solutions from similar cases. The underlying concept is inspired by the work of Dippon J. (2002) .
How to cite:
Simon Mueller (2018). CaseBasedReasoning: Case Based Reasoning. R package version 0.3, https://cran.r-project.org/web/packages/CaseBasedReasoning. Accessed 03 May. 2025.
Previous versions and publish date:
0.1 (2018-06-12 12:34)
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