The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

DIMORA: Diffusion Models R Analysis

The implemented methods are: Standard Bass model, Generalized Bass model (with rectangular shock, exponential shock, and mixed shock. You can choose to add from 1 to 3 shocks), Guseo-Guidolin model and Variable Potential Market model, and UCRCD model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model in which there is a "carrier" function x(t) that allows to change the speed of time sliding. In some real processes the reachable potential of the resource available in a temporal instant may appear to be not constant over time, because of this we use Variable Potential Market model, in which the Guseo-Guidolin has a particular specification for the market function. The UCRCD model (Unbalanced Competition and Regime Change Diachronic) is a diffusion model used to capture the dynamics of the competitive or collaborative transition.

Version: 0.3.6
Depends: R (≥ 3.2.1), minpack.lm, numDeriv, stats, forecast, reshape2, deSolve
Published: 2023-10-07
DOI: 10.32614/CRAN.package.DIMORA
Author: Zanghi Federico, Savio Andrea, Filippo Ziliotto, Bessi Alessandro
Maintainer: Savio Andrea <svandr97 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
In views: TimeSeries
CRAN checks: DIMORA results

Documentation:

Reference manual: DIMORA.pdf

Downloads:

Package source: DIMORA_0.3.6.tar.gz
Windows binaries: r-devel: DIMORA_0.3.6.zip, r-release: DIMORA_0.3.6.zip, r-oldrel: DIMORA_0.3.6.zip
macOS binaries: r-release (arm64): DIMORA_0.3.6.tgz, r-oldrel (arm64): DIMORA_0.3.6.tgz, r-release (x86_64): DIMORA_0.3.6.tgz, r-oldrel (x86_64): DIMORA_0.3.6.tgz
Old sources: DIMORA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DIMORA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.