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DIMORA
View on CRAN: Click
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Download and install DIMORA package within the R console
Install from CRAN:
install.packages("DIMORA")
Install from Github:
library("remotes")
install_github("cran/DIMORA") Install by package version:
library("remotes")
install_version("DIMORA", "0.3.6") Attach the package and use:
library("DIMORA")
Maintained by
Savio Andrea
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-03
Latest Update: 2023-10-07
Description:
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.
How to cite:
Savio Andrea (2018). DIMORA: Diffusion Models R Analysis. R package version 0.3.6, https://cran.r-project.org/web/packages/DIMORA. Accessed 07 Oct. 2026.
Previous versions and publish date:
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Other R packages that DIMORA depends,
imports, suggests or enhances
Complete documentation for DIMORA
Functions, R codes and Examples using
the DIMORA R package
Some associated functions: BM . DBdimora . DIMORA . GBM . GGM . UCRCD . hello . makeinstantanous . plot.Dimora . predict.Dimora . summary.Dimora .
Some associated R codes: BM.R . GBM.R . GGM.R . UCRCD.R . hello.R . makeinstantaneous.R . plot.Dimora.R . predict.Dimora.R . summary.Dimora.R . Full DIMORA package functions and examples
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