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KCSNBShiny
View on CRAN: Click
here
Download and install KCSNBShiny package within the R console
Install from CRAN:
install.packages("KCSNBShiny")
Install from Github:
library("remotes")
install_github("cran/KCSNBShiny") Install by package version:
library("remotes")
install_version("KCSNBShiny", "0.1.0") Attach the package and use:
library("KCSNBShiny")
Maintained by
Karne Chaithanya Sai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-01
Latest Update: 2019-07-01
Description:
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.
How to cite:
Karne Chaithanya Sai (2019). KCSNBShiny: Naive Bayes Classifier. R package version 0.1.0, https://cran.r-project.org/web/packages/KCSNBShiny. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Complete documentation for KCSNBShiny
Functions, R codes and Examples using
the KCSNBShiny R package
Some associated functions: KCSNBShiny .
Some associated R codes: KCSNBShiny.R . Full KCSNBShiny package functions and examples
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