Forecast the Diffusion of New Products

Various diffusion models to forecast new product growth. Currently the package contains Bass, Gompertz, Gamma/Shifted Gompertz and Weibull curves. See Meade and Islam (2006) .


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diffusion

The R package diffusion is for forecasting with diffusion curves.

Currently the following diffusion models are implemented:

  1. Bass model
  2. Gompertz model
  3. Gamma/Shifted Gompertz model
  4. Weibull model
  5. Norton-Bass model for generational modelling (not working well)

Installation

Stable version can be installed from CRAN:

install.packages("diffusion")

For installation from github use remotes:

if (!require("remotes")){install.packages("remotes")}
remotes::install_github("mamut86/diffusion")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("diffusion")

0.4.0 by Oliver Schaer, 2 years ago


https://github.com/mamut86/diffusion


Report a bug at https://github.com/mamut86/diffusion/issues


Browse source code at https://github.com/cran/diffusion


Authors: Oliver Schaer [aut, cre] (Assistant Professor , LeBow College of Business , Drexel University , USA) , Nikolaos Kourentzes [aut] (Professor of Predictive Analytics , School of Informatics , Skoevde University , Sweden) , Ivan Svetunkov [aut] (Lecturer at Centre for Marketing Analytics and Forecasting , Lancaster University , UK)


Documentation:   PDF Manual  


LGPL-2.1 license


Imports nloptr, systemfit, optimx


See at CRAN