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Calculate users prevalence of a product based on the prevalence of triers in the population. The measurement of triers is relatively easy. It is just a question of whether a person tried a product even once in his life or not. On the other hand, The measurement of people who also adopt it as part of their life is more complicated since adopting an innovative product is a subjective view of the individual. Mickey Kislev and Shira Kislev developed a formula to calculate the prevalence of a product's users to overcome this difficulty. The current package assists in calculating the users prevalence of a product based on the prevalence of triers in the population. See for: Kislev, M. M., and S. Kislev (2020) <doi:10.5539/ijms.v12n4p63>.
| Version: | 0.1.6 |
| Published: | 2021-08-13 |
| DOI: | 10.32614/CRAN.package.ADP |
| Author: | Mickey Kislev [cre], Shira Kislev [aut] |
| Maintainer: | Mickey Kislev <mickeykislev at researchgap.ac> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ADP results |
| Reference manual: | ADP.pdf |
| Package source: | ADP_0.1.6.tar.gz |
| Windows binaries: | r-devel: ADP_0.1.6.zip, r-release: ADP_0.1.6.zip, r-oldrel: ADP_0.1.6.zip |
| macOS binaries: | r-release (arm64): ADP_0.1.6.tgz, r-oldrel (arm64): ADP_0.1.6.tgz, r-release (x86_64): ADP_0.1.6.tgz, r-oldrel (x86_64): ADP_0.1.6.tgz |
| Old sources: | ADP 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.