Package: DIMORA 0.3.6

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.

Authors:Zanghi Federico, Savio Andrea, Filippo Ziliotto, Bessi Alessandro

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DIMORA/json (API)

# Install 'DIMORA' in R:
install.packages('DIMORA', repos = c('https://avios97.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.66 score 1 stars 46 scripts 316 downloads 8 exports 52 dependencies

Last updated 1 years agofrom:e938ef4a23. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-winNOTEMar 26 2025
R-4.5-macNOTEMar 26 2025
R-4.5-linuxNOTEMar 26 2025
R-4.4-winNOTEMar 26 2025
R-4.4-macNOTEMar 26 2025
R-4.4-linuxNOTEMar 26 2025
R-4.3-winOKMar 26 2025
R-4.3-macOKMar 26 2025

Exports:BMGBMGGMmake.instantaneousplot.Dimorapredict.Dimorasummary.DimoraUCRCD

Dependencies:clicolorspacecurldeSolvefansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvminpack.lmmunsellnlmennetnumDerivpillarpkgconfigplyrquadprogquantmodR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstringistringrtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo