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Predicts any variable in any categorical dataset for given values of predictor variables. If a dataset contains 4 variables, then any variable can be predicted based on the values of the other three variables given by the user. The user can upload their own datasets and select what variable they want to predict. A 'handsontable' is provided to enter the predictor values and also accuracy of the prediction is also shown.
| Version: | 0.1.0 |
| Imports: | shiny, rhandsontable, dplyr, caret, e1071 |
| Published: | 2019-07-01 |
| DOI: | 10.32614/CRAN.package.KCSNBShiny |
| Author: | Karne Chaithanya Sai |
| Maintainer: | Karne Chaithanya Sai <karnechaithanyasai at gmail.com> |
| License: | GPL-2 |
| URL: | https://karnechaithanyasai.shinyapps.io/KCSNBShiny/ |
| NeedsCompilation: | no |
| CRAN checks: | KCSNBShiny results |
| Reference manual: | KCSNBShiny.pdf |
| Package source: | KCSNBShiny_0.1.0.tar.gz |
| Windows binaries: | r-devel: KCSNBShiny_0.1.0.zip, r-release: KCSNBShiny_0.1.0.zip, r-oldrel: KCSNBShiny_0.1.0.zip |
| macOS binaries: | r-release (arm64): KCSNBShiny_0.1.0.tgz, r-oldrel (arm64): KCSNBShiny_0.1.0.tgz, r-release (x86_64): KCSNBShiny_0.1.0.tgz, r-oldrel (x86_64): KCSNBShiny_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.