Package: ADP 0.1.6

Mickey Kislev

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>.

Authors:Mickey Kislev [cre], Shira Kislev [aut]

ADP_0.1.6.tar.gz
ADP_0.1.6.tar.gz(r-4.5-noble)ADP_0.1.6.tar.gz(r-4.4-noble)
ADP_0.1.6.tgz(r-4.4-emscripten)ADP_0.1.6.tgz(r-4.3-emscripten)
ADP.pdf |ADP.html
ADP/json (API)

# Install 'ADP' in R:
install.packages('ADP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 246 downloads 39 mentions 5 exports 0 dependencies

Last updated 3 years agofrom:32c798dca2. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:ADPadp.tadp.uptrierspusers

Dependencies: