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) <doi:10.1016/j.ijforecast.2006.01.005>.
License: LGPL-2.1
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
Imports: nloptr, systemfit, optimx
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2024-04-16 16:58:53 UTC; SchaerO
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@oliverschaer.ch>
Repository: CRAN
Date/Publication: 2024-04-16 20:00:10 UTC
Built: R 4.6.0; ; 2026-05-01 01:30:59 UTC; unix
