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ADP  

Adoption Probability, Triers and Users Rate of a New Product
View on CRAN: Click here


Download and install ADP package within the R console
Install from CRAN:
install.packages("ADP")

Install from Github:
library("remotes")
install_github("cran/ADP")

Install by package version:
library("remotes")
install_version("ADP", "0.1.6")



Attach the package and use:
library("ADP")
Maintained by
Mickey Kislev
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-28
Latest Update: 2021-08-13
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) .
How to cite:
Mickey Kislev (2021). ADP: Adoption Probability, Triers and Users Rate of a New Product. R package version 0.1.6, https://cran.r-project.org/web/packages/ADP. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.3 (2021-07-28 13:50), 0.1.5 (2021-07-30 13:40)
Other packages that cited ADP R package
View ADP citation profile
Other R packages that ADP depends, imports, suggests or enhances
Complete documentation for ADP
Functions, R codes and Examples using the ADP R package
Some associated functions: ADP . adp.t . adp.u . ptriers . pusers . 
Some associated R codes: ADP.R .  Full ADP package functions and examples
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