adp.t {ADP}

Calculates the predicted adoption probability according to the triers' rate

Description

#' This function develops a prediction of the adoption rate of an innovation in the market, according to the number of triers

Usage

adp.t(triers)

Arguments

triers

a vector of percentige (0<triers<1) of known triers

Details

This function calculates the adoption probability in the population of a certain innovation according to known triers rate measured in a survey.

Value

a vector of predicted percentige(0<ADP<1) of the adoption probability of a innovative product in the population.

Author(s)

Mickey Kislev and Shira Kislev

Source

Kislev, Mickey M. & Kislev, Shira, (2020). The Market Trajectory of a Radically New Product: E-Cigarettes. IJMS 12(4):63-92, DOI:10.5539/ijms.v12n4p63

See Also

pusers, ptriers, and adp.u

Examples

# 50% rate of triers
adp.t(0.5)
0.4910082
# means that every second person who tries the product will adopt it, in case
# that 50% of the population already tried it.