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Facilitates tidy calculation of popular quantitative marketing metrics. It also includes functions for doing analysis that will help marketers and data analysts better understand the drivers and/or trends of these metrics. These metrics include Customer Experience Index <https://go.forrester.com/analytics/cx-index/> and Net Promoter Score <https://www.netpromoter.com/know/>.
| Version: | 0.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr (≥ 0.8.3), magrittr (≥ 1.5), tidyr (≥ 1.0.0), tibble (≥ 2.1.3) |
| Suggests: | knitr, rmarkdown, ggplot2 |
| Published: | 2020-12-18 |
| DOI: | 10.32614/CRAN.package.marketr |
| Author: | Chris Umphlett [aut, cre] |
| Maintainer: | Chris Umphlett <christopher.umphlett at gmail.com> |
| License: | CC0 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | marketr results |
| Reference manual: | marketr.pdf |
| Vignettes: |
Introduction to marketr |
| Package source: | marketr_0.0.2.tar.gz |
| Windows binaries: | r-devel: marketr_0.0.2.zip, r-release: marketr_0.0.2.zip, r-oldrel: marketr_0.0.2.zip |
| macOS binaries: | r-release (arm64): marketr_0.0.2.tgz, r-oldrel (arm64): marketr_0.0.2.tgz, r-release (x86_64): marketr_0.0.2.tgz, r-oldrel (x86_64): marketr_0.0.2.tgz |
| Old sources: | marketr archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.