otvPlots: Over Time Variable Plots

Enables automated visualization of variable distribution and changes over time for predictive model building. It efficiently computes summary statistics aggregated by time for large datasets, and create plots for variable level monitoring.

Version: 0.2.1
Depends: R (≥ 3.2.0)
Imports: data.table (≥ 1.9.6), ggplot2 (≥ 2.1.0), grid (≥ 3.2.0), gridExtra (≥ 2.2.1), Hmisc (≥ 3.17-4), moments, quantreg (≥ 5.33), scales (≥ 0.4.0), stringi (≥ 1.1.1)
Suggests: bit64, knitr, proto, testthat
Published: 2018-06-26
Author: Rebecca Payne [aut], Zoey Zhu [aut], Yingbo Li [aut, cre], Capital One [cph]
Maintainer: Yingbo Li <yingbo.li at capitalone.com>
BugReports: https://github.com/capitalone/otvPlots/issues
License: Apache License 2.0 | file LICENSE
URL: https://github.com/capitalone/otvPlots
NeedsCompilation: no
Materials: README
CRAN checks: otvPlots results


Reference manual: otvPlots.pdf
Package source: otvPlots_0.2.1.tar.gz
Windows binaries: r-devel: otvPlots_0.2.1.zip, r-release: otvPlots_0.2.1.zip, r-oldrel: otvPlots_0.2.1.zip
OS X binaries: r-release: otvPlots_0.2.1.tgz, r-oldrel: otvPlots_0.2.1.tgz
Old sources: otvPlots archive


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