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funModeling  

Exploratory Data Analysis and Data Preparation Tool-Box
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("funModeling", "1.9.5")



Attach the package and use:
library("funModeling")
Maintained by
Pablo Casas
[Scholar Profile | Author Map]
First Published: 2016-02-07
Latest Update: 2023-06-17
Description:
Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book () are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
How to cite:
Pablo Casas (2016). funModeling: Exploratory Data Analysis and Data Preparation Tool-Box. R package version 1.9.5, https://cran.r-project.org/web/packages/funModeling. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0 (2016-02-07 18:04), 1.1 (2016-03-14 07:54), 1.2 (2016-08-10 09:45), 1.3 (2016-10-05 09:29), 1.4 (2016-10-11 12:42), 1.5 (2016-11-12 15:47), 1.6.1 (2017-02-26 00:22), 1.6.2 (2017-03-17 00:12), 1.6.3 (2017-06-04 01:31), 1.6.4 (2017-06-17 17:56), 1.6.5 (2017-07-09 18:20), 1.6.6 (2017-12-18 22:40), 1.6.7 (2018-01-21 19:51), 1.6.8 (2018-08-01 00:30), 1.6 (2017-01-13 00:32), 1.7 (2019-02-13 07:30), 1.8 (2019-08-01 20:30), 1.9.2 (2019-09-08 19:50), 1.9.3 (2019-10-09 06:20), 1.9.4 (2020-06-15 07:10), 1.9 (2019-08-26 17:00)
Other packages that cited funModeling R package
View funModeling citation profile
Other R packages that funModeling depends, imports, suggests or enhances
Complete documentation for funModeling
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