helda: Preprocess Data and Get Better Insights from Machine Learning Models

The main focus is on preprocessing and data visualization of machine learning models performances. Some functions allow to fill in gaps in time series using linear interpolation on panel data, some functions permit to draw lift effect and lift curve in order to benchmark machine learning models or you can even find the optimal number of clusters in agglomerative clustering algorithm.

Version: 1.1.3
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 0.7.8), ggplot2 (≥ 3.2.0), sqldf (≥ 0.4-11), stringr (≥ 1.3.1), rlang (≥ 0.4.2), stats (≥ 3.5.0)
Suggests: devtools (≥ 2.2.1), testthat (≥ 2.1.0), covr (≥ 3.4.0)
Published: 2020-06-13
Author: Simon Corde [aut, cre]
Maintainer: Simon Corde <simon.corde at hotmail.fr>
BugReports: https://github.com/Redcart/helda/issues
License: GPL-3
URL: https://www.github.com/Redcart/helda
NeedsCompilation: no
Materials: README NEWS
CRAN checks: helda results


Reference manual: helda.pdf
Package source: helda_1.1.3.tar.gz
Windows binaries: r-devel: helda_1.1.3.zip, r-release: helda_1.1.3.zip, r-oldrel: helda_1.1.3.zip
macOS binaries: r-release: helda_1.1.3.tgz, r-oldrel: helda_1.1.3.tgz
Old sources: helda archive


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