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 |
macOS binaries: | r-release: otvPlots_0.2.1.tgz, r-oldrel: otvPlots_0.2.1.tgz |
Old sources: | otvPlots archive |
Please use the canonical form https://CRAN.R-project.org/package=otvPlots to link to this page.