ADP: Adoption Probability, Triers and Users Rate of a New Product

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>.

Getting started

Package details

AuthorMickey Kislev [cre], Shira Kislev [aut]
MaintainerMickey Kislev <mickeykislev@researchgap.ac>
LicenseGPL-3
Version0.1.6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ADP")

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ADP documentation built on Aug. 13, 2021, 5:09 p.m.