CRAN/E | regressoR

regressoR

Regression Data Analysis System

Installation

About

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

promidat.website/
github.com/PROMiDAT/regressoR
Bug report File report

Key Metrics

Version 3.0.2
R ≥ 4.1
Published 2023-06-29 301 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks regressoR results

Downloads

Yesterday 11 0%
Last 7 days 47 -41%
Last 30 days 297 -6%
Last 90 days 990 -9%
Last 365 days 4.438 -2%

Maintainer

Maintainer

Oldemar Rodriguez

oldemar.rodriguez@ucr.ac.cr

Authors

Oldemar Rodriguez

aut / cre

Diego Jimenez A.

ctb / prg

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

regressoR archive

Depends

R ≥ 4.1

Imports

DT ≥ 0.27
pls ≥ 2.8-1
dplyr ≥ 1.1.0
shiny ≥1.7.4
golem ≥ 0.3.5
rlang ≥ 1.0.6
glmnet ≥ 4.1-6
loadeR ≥ 1.1.3
shinyjs ≥ 2.1.0
traineR ≥ 2.0.4
shinyAce ≥ 0.4.2
echarts4r ≥ 0.4.4
htmltools ≥0.5.4
rpart.plot ≥ 3.1.1
shinydashboard ≥ 0.7.2
shinycustomloader ≥ 0.9.0
shinydashboardPlus ≥ 2.0.3