diffusion: 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) <doi:10.1016/j.ijforecast.2006.01.005>.

Version: 0.4.0
Depends: R (≥ 3.5.0)
Imports: nloptr, systemfit, optimx
Published: 2024-04-16
DOI: 10.32614/CRAN.package.diffusion
Author: 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)
Maintainer: Oliver Schaer <info at oliverschaer.ch>
BugReports: https://github.com/mamut86/diffusion/issues
License: LGPL-2.1
URL: https://github.com/mamut86/diffusion
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: diffusion results


Reference manual: diffusion.pdf


Package source: diffusion_0.4.0.tar.gz
Windows binaries: r-devel: diffusion_0.4.0.zip, r-release: diffusion_0.4.0.zip, r-oldrel: diffusion_0.4.0.zip
macOS binaries: r-release (arm64): diffusion_0.4.0.tgz, r-oldrel (arm64): diffusion_0.4.0.tgz, r-release (x86_64): diffusion_0.4.0.tgz, r-oldrel (x86_64): diffusion_0.4.0.tgz
Old sources: diffusion archive


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