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) <doi:10.1016/S0167-9473(02)00058-0>.
Version: 0.3 Depends: Rcpp, RcppParallel, rms Imports: R6, ranger, survival, ggplot2, cowplot, dplyr, purrr, tidyr, pryr LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat, knitr, rmarkdown, RcppArmadillo Published: 2023-05-02 DOI: 10.32614/CRAN.package.CaseBasedReasoning Author: Simon Mueller [cre, aut], PD Dr. Juergen Dippon [ctb] Maintainer: Simon Mueller <simon.mueller at muon-stat.com> BugReports: https://github.com/sipemu/case-based-reasoning/issues License: MIT + file LICENSE URL: https://github.com/sipemu/case-based-reasoning NeedsCompilation: yes SystemRequirements: GNU make Materials: README NEWS CRAN checks: CaseBasedReasoning results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CaseBasedReasoning to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4