Package: diffusion Type: Package Title: Forecast the Diffusion of New Products Version: 0.4.0 Authors@R: c(person("Oliver", "Schaer", email = "info@oliverschaer.ch", role = c("aut", "cre"), comment = "Assistant Professor, LeBow College of Business, Drexel University, USA"), person("Nikolaos", "Kourentzes", email = "nikolaos@kourentzes.com", role = c("aut"), comment = "Professor of Predictive Analytics, School of Informatics, Skoevde University, Sweden"), person("Ivan", "Svetunkov", email = "ivan@svetunkov.com", role = c("aut"), comment="Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK")) URL: https://github.com/mamut86/diffusion BugReports: https://github.com/mamut86/diffusion/issues Description: 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) . License: LGPL-2.1 Depends: R (>= 3.5.0) Encoding: UTF-8 LazyData: true Imports: nloptr, systemfit, optimx RoxygenNote: 7.3.1 Config/pak/sysreqs: cmake make libicu-dev Repository: https://mamut86.r-universe.dev Date/Publication: 2024-04-16 16:57:13 UTC RemoteUrl: https://github.com/mamut86/diffusion RemoteRef: HEAD RemoteSha: 13cce4653f8be7e409683fc2faaf9b371b83d515 NeedsCompilation: no Packaged: 2026-10-01 10:00:08 UTC; root 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