Package: CaseBasedReasoning 0.4.1

CaseBasedReasoning: Case Based Reasoning

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. et al. (2002) <doi:10.1016/S0167-9473(02)00058-0>.

Authors:Simon Mueller [aut, cre], PD Dr. Juergen Dippon [ctb]

CaseBasedReasoning_0.4.1.tar.gz
CaseBasedReasoning_0.4.1.zip(r-4.7-x86_64)CaseBasedReasoning_0.4.1.zip(r-4.7-arm64)CaseBasedReasoning_0.4.1.zip(r-4.6-x86_64)CaseBasedReasoning_0.4.1.zip(r-4.6-arm64)CaseBasedReasoning_0.4.1.zip(r-4.5-x86_64)
CaseBasedReasoning_0.4.1.tgz(r-4.6-x86_64)CaseBasedReasoning_0.4.1.tgz(r-4.6-arm64)CaseBasedReasoning_0.4.1.tgz(r-4.5-x86_64)CaseBasedReasoning_0.4.1.tgz(r-4.5-arm64)
CaseBasedReasoning_0.4.1.tar.gz(r-4.7-arm64)CaseBasedReasoning_0.4.1.tar.gz(r-4.7-x86_64)CaseBasedReasoning_0.4.1.tar.gz(r-4.6-arm64)CaseBasedReasoning_0.4.1.tar.gz(r-4.6-x86_64)
CaseBasedReasoning_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CaseBasedReasoning/json (API)

# Install 'CaseBasedReasoning' in R:
install.packages('CaseBasedReasoning', repos = c('https://sipemu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sipemu/case-based-reasoning/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

case-based-reasoningcox-regressiondistance-matrixmachine-learningnearest-neighborsrandom-forestsimilaritycpp

5.23 score 2 stars 14 scripts 461 downloads 17 exports 76 dependencies

Last updated from:42da50bcc1. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK145
linux-devel-x86_64OK167
source / vignettesOK268
linux-release-arm64OK210
linux-release-x86_64OK235
macos-release-arm64OK204
macos-release-x86_64OK567
macos-oldrel-arm64OK209
macos-oldrel-x86_64OK839
windows-devel-arm64OK410
windows-devel-x86_64OK228
windows-release-arm64OK412
windows-release-x86_64OK167
windows-oldrel-x86_64OK188
wasm-releaseOK124

Exports:as_dist_objectasDistObjectCoxModeldepth_distancedistance_random_forestdistanceRandomForestedges_between_terminal_nodesgenerate_gridLinearModelLogisticModelproximity_distanceranger_forests_to_matrixRFModelterminal_nodesterminalNodesweighted_distanceweightedDistance

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspacecpp11data.tabledigestevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemimemultcompmvtnormnlmennetpolsplinequantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesSparseMstringistringrsurvivalTH.datatinytexvctrsviridisLitewithrxfunyamlzoo

Get Started
Motivation | Cox Proportional Hazard Model | Available Models | Linear Regression | Logistic Regression | Cox Proportional Hazards Regression | Random Forests | Case Based Reasoning | Search for Similar Cases | Check Proportional Hazard Assumption | Distance Matrix Calculation

Last update: 2026-02-26
Started: 2023-04-04

Motivation
Objective | Define a Distance Measure for Numerical and Categorical Features | Weighted Distance Measure | Statistical Model | Random Forests | Proximity Measure | Depth Measure: A modified proximity measure

Last update: 2026-02-26
Started: 2023-04-04