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ADP (version 0.1.6)

Adoption Probability, Triers and Users Rate of a New Product

Description

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) .

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Version

Install

install.packages('ADP')

Monthly Downloads

225

Version

0.1.6

License

GPL-3

Maintainer

Mickey Kislev

Last Published

August 13th, 2021

Functions in ADP (0.1.6)

pusers

Calculates the predicted prevalence of users according to the triers' rate
adp.u

Calculates the predicted adoption probability according to the users' rate
ADP

How many people use my product
adp.t

Calculates the predicted adoption probability according to the triers' rate
ptriers

Calculates the predicted prevalence of triers according to the users' rate