funModeling

Exploratory Data Analysis and Data Preparation Tool-Box Book

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<http://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

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Description file content

Package
funModeling
Type
Package
Title
Exploratory Data Analysis and Data Preparation Tool-Box Book
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.
Version
1.6.7
Date
2018-01-21
Author
Pablo Casas
Maintainer
Pablo Casas
License
GPL-2
BugReports
https://github.com/pablo14/funModeling/issues
URL
LazyData
true
Imports
ROCR, ggplot2, gridExtra, pander, reshape2, scales, dplyr, lazyeval, utils, RColorBrewer, moments, entropy
Depends
R (>= 3.2.1), Hmisc (>= 3.17.1)
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-01-21 18:39:11 UTC; oblaphouses
Repository
CRAN
Date/Publication
2018-01-21 18:51:10 UTC

install.packages('funModeling')

1.6.7

4 months ago

livebook.datascienceheroes.com

Pablo Casas

GPL-2

Depends on

R (>= 3.2.1), Hmisc (>= 3.17.1)

Imports

ROCR, ggplot2, gridExtra, pander, reshape2, scales, dplyr, lazyeval, utils, RColorBrewer, moments, entropy

Suggests

knitr, rmarkdown

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