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predictoR  

Predictive Data Analysis System
View on CRAN: Click here


Download and install predictoR package within the R console
Install from CRAN:
install.packages("predictoR")

Install from Github:
library("remotes")
install_github("cran/predictoR")

Install by package version:
library("remotes")
install_version("predictoR", "4.1.1")



Attach the package and use:
library("predictoR")
Maintained by
Oldemar Rodriguez
[Scholar Profile | Author Map]
First Published: 2019-03-03
Latest Update: 2023-06-29
Description:
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
How to cite:
Oldemar Rodriguez (2019). predictoR: Predictive Data Analysis System. R package version 4.1.1, https://cran.r-project.org/web/packages/predictoR. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0.4 (2019-03-03 12:20), 1.0.9 (2019-05-10 07:20), 1.1.0 (2019-06-25 00:50), 1.1.2 (2020-06-26 16:40), 1.1.3 (2020-08-07 11:10), 1.1.4 (2020-10-30 00:00), 1.1.5 (2021-03-02 06:30), 1.1.7 (2021-03-04 08:40), 1.1.9 (2021-04-12 19:10), 2.0.4 (2021-08-19 20:10), 2.0.5 (2021-10-12 19:20), 2.0.7 (2022-04-30 01:50), 3.0.0 (2023-02-17 00:10), 3.0.1 (2023-03-29 00:10), 3.0.3 (2023-06-29 18:40), 3.0.10 (2024-05-15 18:50)
Other packages that cited predictoR R package
View predictoR citation profile
Other R packages that predictoR depends, imports, suggests or enhances
Complete documentation for predictoR
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