Package: KCSKNNShiny 0.1.0

KCSKNNShiny: K-Nearest Neighbour Classifier

It predicts any attribute (categorical) given a set of input numeric predictor values. Note that only numeric input predictors should be given. The k value can be chosen according to accuracies provided. The attribute to be predicted can be selected from the dropdown provided (select categorical attribute). This is because categorical attributes cannot be given as inputs here. A 'handsontable' is also provided to enter the input predictor values.

Authors:Karne Chaithanya Sai

KCSKNNShiny_0.1.0.tar.gz
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KCSKNNShiny_0.1.0.tgz(r-4.4-any)KCSKNNShiny_0.1.0.tgz(r-4.3-any)
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KCSKNNShiny.pdf |KCSKNNShiny.html✨
KCSKNNShiny/json (API)

# Install 'KCSKNNShiny' in R:
install.packages('KCSKNNShiny', repos = c('https://chaithanya07.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 153 downloads 1 exports 106 dependencies

Last updated 5 years agofrom:1787e82787. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:KCSKNNShiny

Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071evaluatefansifarverfastmapFNNfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rhandsontablerlangrmarkdownrpartsassscalesshapeshinysourcetoolsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml