https://github.com/fipelle/messytimeseriesoptim.jl
A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.1%) to scientific vocabulary
Keywords
Repository
A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.
Basic Info
Statistics
- Stars: 7
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 15
Topics
Metadata Files
README.md
A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.
| Documentation |
|:-------------------------------------------------------------------------------:
| 
|
Installation
The package can be installed with the Julia package manager.
From the Julia REPL, type ] to enter the Pkg REPL mode and run:
pkg> add MessyTimeSeriesOptim
Or, equivalently, via the Pkg API:
julia
julia> import Pkg; Pkg.add("MessyTimeSeriesOptim")
Owner
- Name: Filippo Pellegrino
- Login: fipelle
- Kind: user
- Location: London, UK
- Company: Imperial College London
- Website: https://www.filippopellegrino.eu
- Repositories: 5
- Profile: https://github.com/fipelle
Postdoc at Imperial College London
GitHub Events
Total
Last Year
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 135
- Total Committers: 1
- Avg Commits per committer: 135.0
- Development Distribution Score (DDS): 0.0
Top Committers
| Name | Commits | |
|---|---|---|
| fipelle | 6****e@u****m | 135 |
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 2
- Total pull requests: 22
- Average time to close issues: about 11 hours
- Average time to close pull requests: 30 minutes
- Total issue authors: 2
- Total pull request authors: 1
- Average comments per issue: 6.5
- Average comments per pull request: 0.0
- Merged pull requests: 22
- 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
Top Authors
Issue Authors
- PallHaraldsson (1)
- JuliaTagBot (1)
Pull Request Authors
- fipelle (22)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 1 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 13
juliahub.com: MessyTimeSeriesOptim
A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.
- Documentation: https://docs.juliahub.com/General/MessyTimeSeriesOptim/stable/
- License: BSD-3-Clause
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Latest release: 0.2.3
published about 2 years ago
Rankings
Dependencies
- actions/checkout v2 composite
- julia-actions/setup-julia latest composite
- JuliaRegistries/TagBot v1 composite