Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 5 committers (20.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: TycheLab
  • License: agpl-3.0
  • Language: HTML
  • Default Branch: master
  • Size: 8.7 MB
Statistics
  • Stars: 12
  • Watchers: 1
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Created about 6 years ago · Last pushed 11 months ago
Metadata Files
Readme License

README.md

CoSMoS

AppVeyor build status CRAN status CRAN_Download_Badge license

Complete Stochastic Modelling Solution

CoSMoS is an R package that makes time series generation with desired properties easy. Just choose the characteristics of the time series you want to generate, and it will do the rest. The generated time series preserve any probability distribution and any linear autocorrelation structure. Users can generate as many and as long time series from processes such as precipitation, wind, temperature, relative humidity etc. It is based on a framework that unified, extended, and improved a modelling strategy that generates time series by transforming “parent” Gaussian time series having specific characteristics (Papalexiou, 2018).

Install

To install the latest version of the package run:

```r

copy-paste to get the latest version of CoSMoS

if (!require('devtools')) {install.packages('devtools'); library(devtools)}

install_github('TycheLab/CoSMoS', upgrade = 'never')

library(CoSMoS)

?CoSMoS-package ```

Funding

The package was partly funded by the Global institute for Water Security (GIWS; https://www.usask.ca/water/) and the Global Water Futures (GWF; https://gwf.usask.ca/) program.

Authors

Coded by: Filip Strnad and Francesco Serinaldi
Conceptual design by: Simon Michael Papalexiou
Tested and documented by: Yannis Markonis
Maintained by: Kevin Shook

References

Papalexiou, S.M., 2018. Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency. Advances in Water Resources 115, 234-252. https://doi.org/10.1016/j.advwatres.2018.02.013

Owner

  • Name: Tyche Lab
  • Login: TycheLab
  • Kind: organization

GitHub Events

Total
  • Issues event: 1
  • Watch event: 2
  • Delete event: 1
  • Issue comment event: 1
  • Push event: 3
  • Pull request review event: 1
  • Pull request event: 2
  • Create event: 1
Last Year
  • Issues event: 1
  • Watch event: 2
  • Delete event: 1
  • Issue comment event: 1
  • Push event: 3
  • Pull request review event: 1
  • Pull request event: 2
  • Create event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 60
  • Total Committers: 5
  • Avg Commits per committer: 12.0
  • Development Distribution Score (DDS): 0.383
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
strnda s****f@f****z 37
Kevin Shook k****k@u****a 13
GDlabR f****i@n****k 7
Vahid Nikfar v****3@y****m 2
Yannis Markonis i****s@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 1
  • Total pull requests: 8
  • Average time to close issues: N/A
  • Average time to close pull requests: 4 minutes
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.13
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • MichaelChirico (1)
Pull Request Authors
  • KevinShook (5)
  • vahid-nik (3)
  • teunbrand (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 344 last-month
  • Total docker downloads: 42,053
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 6
  • Total maintainers: 1
cran.r-project.org: CoSMoS

Complete Stochastic Modelling Solution

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 344 Last month
  • Docker Downloads: 42,053
Rankings
Forks count: 17.8%
Stargazers count: 17.9%
Average: 27.5%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Downloads: 36.4%
Maintainers (1)
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • data.table * depends
  • ggplot2 * depends
  • MBA * imports
  • Matrix * imports
  • animation * imports
  • cowplot * imports
  • directlabels * imports
  • ggquiver * imports
  • grDevices * imports
  • mAr * imports
  • matrixcalc * imports
  • methods * imports
  • mvtnorm * imports
  • nloptr * imports
  • plot3D * imports
  • pracma * imports
  • stats * imports
  • utils * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests