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:
KCSKNNShiny_0.1.0.tar.gz
KCSKNNShiny_0.1.0.zip(r-4.7-any)KCSKNNShiny_0.1.0.zip(r-4.6-any)KCSKNNShiny_0.1.0.zip(r-4.5-any)
KCSKNNShiny_0.1.0.tgz(r-4.6-any)KCSKNNShiny_0.1.0.tgz(r-4.5-any)
KCSKNNShiny_0.1.0.tar.gz(r-4.7-any)KCSKNNShiny_0.1.0.tar.gz(r-4.6-any)
KCSKNNShiny_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
KCSKNNShiny/json (API)
| # Install 'KCSKNNShiny' in R: |
| install.packages('KCSKNNShiny', repos = c('https://chaithanya07.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1787e82787. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 177 | ||
| source / vignettes | OK | 355 | ||
| linux-release | OK | 167 | ||
| macos-release | OK | 142 | ||
| macos-oldrel | OK | 143 | ||
| windows-devel | OK | 109 | ||
| windows-release | OK | 129 | ||
| windows-oldrel | OK | 117 | ||
| wasm-release | OK | 111 |
Exports:KCSKNNShiny
Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscommonmarkcpp11data.tablediagramdigestdplyre1071evaluatefarverfastmapFNNfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemimeModelMetricsnlmennetnumDerivotelparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rhandsontablerlangrmarkdownrpartS7sassscalesshapeshinysourcetoolssparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| K-Nearest Neighbour Classifier | KCSKNNShiny |