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DSWE

An R implementation of some of the data science methods for wind energy (DSWE) applications.

https://github.com/tamu-aml/dswe-package

Science Score: 20.0%

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
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    3 of 8 committers (37.5%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.3%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

An R implementation of some of the data science methods for wind energy (DSWE) applications.

Basic Info
  • Host: GitHub
  • Owner: TAMU-AML
  • License: other
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 4.66 MB
Statistics
  • Stars: 10
  • Watchers: 5
  • Forks: 4
  • Open Issues: 0
  • Releases: 18
Created over 6 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

DSWE (Data Science for Wind Energy)

Tutorial and examples

A tutorial for the package is available on zenodo at this link

Installation

For versions 1.5.1 and above (through CRAN):

R install.packages("DSWE")

Note: The package contains C++ code, hence installation using source requires C++ compilers: Rtools for Windows, Apple Command Line Tools and GFortran for Mac OS. The pre-compiled binaries available through CRAN, the offical package repository for R, do not require C++ compilers.

For versions prior to 1.5.1:

Install using the remotes package by specify the version (for example, version 1.3.1) as follows: R remotes::install_github("TAMU-AML/DSWE-Package@v1.3.1")

Owner

  • Name: Texas A&M's Applied Machine Learning (AML) Lab
  • Login: TAMU-AML
  • Kind: organization
  • Email: yuding@tamu.edu
  • Location: College Station, Texas

Yu Ding's Research Group

GitHub Events

Total
Last Year

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 452
  • Total Committers: 8
  • Avg Commits per committer: 56.5
  • Development Distribution Score (DDS): 0.538
Past Year
  • Commits: 27
  • Committers: 3
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.556
Top Committers
Name Email Commits
Nitesh Kumar n****r@t****u 209
Abhinav Prakash a****p@t****u 173
Abhinav Prakash a****d@g****m 30
Ahmadreza Chokhachian a****n@g****m 12
Abhinav Prakash a****h@a****m 9
Abhinav Prakash a****p@a****m 7
Effi Latiffianti l****i@t****u 6
Effi Latiffianti 6****i 6
Committer Domains (Top 20 + Academic)
tamu.edu: 3 aggienetwork.com: 2

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 1
  • Total pull requests: 23
  • Average time to close issues: 2 days
  • Average time to close pull requests: about 4 hours
  • Total issue authors: 1
  • Total pull request authors: 5
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.04
  • Merged pull requests: 21
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • starxn (1)
Pull Request Authors
  • aprakashx (12)
  • nitesh-1507 (5)
  • AhmadChokhachian (3)
  • abhinavpx (2)
  • abhinavprakash89 (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 182 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
  • Total maintainers: 1
cran.r-project.org: DSWE

Data Science for Wind Energy

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 182 Last month
Rankings
Forks count: 14.9%
Stargazers count: 17.9%
Average: 28.5%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Downloads: 44.5%
Maintainers (1)
yuding2007@gmail.com
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • BayesTree >= 0.3 imports
  • FNN >= 1.1.3 imports
  • KernSmooth >= 2.23 imports
  • Rcpp >= 1.0.4.6 imports
  • dplyr >= 1.0.9 imports
  • e1071 >= 1.7 imports
  • gss >= 2.2 imports
  • matrixStats >= 0.55.0 imports
  • mixtools >= 1.1.0 imports
  • stats >= 3.5.0 imports