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DIMORA

0.3.6Package record

Diffusion Models R Analysis

0packages depend
3.7Kdownloads / year
–test coverage
0/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
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NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Savio Andrea <svandr97@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Zanghi",
                      family = "Federico",
                      role = "aut"),
               person(given = "Savio",
                      family = "Andrea",
                      role = c("aut", "cre"),
                      email = "svandr97@gmail.com"),
               person(given = "Filippo",
                      family = "Ziliotto",
                      role = "aut"),
               person(given = "Bessi",
                      family = "Alessandro",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 2.0 min · r-oldrel-windows-x86_64
Status changes
  • NOTE13 NOTENow
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.3.6
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
10
Examples that run
100%8 run in a plain check
Exported functions with examples
80%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
40%

Downloads

3.7K
CRAN downloads in the past year
Rank #8,535 · ~10/day · ~311/mo
Daily download trend is not available in this view yet.
47630 days
1.1K90 days
3.7K1 year
Compare downloads with other packages →
Also on89 r2u3 autocran60 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing DIMORA adds 35 packages (21 with compiled code, 35 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, colorspace 2.0 MB.

Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (4)
· added in 0.3.0
· added in 0.3.0
· added in 0.3.4

Maintainer since 0.3.0 (2022), previously Zanghi Federico (0.1.0 to 0.2.0)

Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3.6Latest
    record
    2023-10-07 · current release · diff ↗
  • 0.3.5
    record
    2023-05-25 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.3.4
    record
    2023-03-11 · diff ↗
  • 0.3.3
    record
    2023-01-14 · diff ↗
  • 0.3.2
    record
    2023-01-06 · diff ↗
  • 0.3.1
    record
    2022-10-05 · diff ↗
  • 0.3.0
    record
    2022-09-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.2.0
    record
    2021-04-16 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
Show 2 earlier eventsHide 2 earlier events
  • 0.1.0
    record
    2018-12-03
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-03
Total releases
9 / 8 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.2.1
Bundled data
2.6 KB / 1 file
Download size
18 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DIMORA")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DIMORA version 0.3.6 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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