structuraldecompose
Univariate Trend Fitting Algorithm
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (9.4%) to scientific vocabulary
Keywords
decomposition
timeseries-analysis
Last synced: 6 months ago
·
JSON representation
Repository
Univariate Trend Fitting Algorithm
Basic Info
- Host: GitHub
- Owner: Allen-1242
- License: other
- Language: R
- Default Branch: main
- Homepage: https://allen-1242.github.io/StructuralDecompose/
- Size: 2.58 MB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
decomposition
timeseries-analysis
Created over 3 years ago
· Last pushed 8 months ago
Metadata Files
Readme
Changelog
License
README.Rmd
--- output: github_document --- # StructuralDecompose[](https://CRAN.R-project.org/package=StructuralDecompose) **Note:** Website documentation is still under construction. **StructuralDecompose** is an algorithm suited to the decomposition of a time series into its component terms of trend, seasonality, and residuals. It is well suited to decompose a series in the presence of significant level shifts. The algorithm outputs the decomposed trend, seasonality, residuals, as well as anomalies detected. ## Installation The `StructuralDecompose` package is now available on CRAN. You can install it like so: | Type | Source | Command | |-------------|--------|-------------------------------------------------------------| | Release | CRAN | `install.packages("StructuralDecompose")` | | Development | GitHub | `devtools::install_github("StructuralDecompose/StructuralDecompose")` | Once installed, load the package using: ```r library(StructuralDecompose) ```
Owner
- Login: Allen-1242
- Kind: user
- Repositories: 4
- Profile: https://github.com/Allen-1242
Data Scientist
GitHub Events
Total
- Push event: 7
Last Year
- Push event: 7
Issues and Pull Requests
Last synced: over 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total 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
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
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Top Labels
Issue Labels
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Packages
- Total packages: 1
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Total downloads:
- cran 220 last-month
- Total docker downloads: 21,613
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: StructuralDecompose
Decomposes a Level Shifted Time Series
- Homepage: https://allen-1242.github.io/StructuralDecompose/
- Documentation: http://cran.r-project.org/web/packages/StructuralDecompose/StructuralDecompose.pdf
- License: MIT + file LICENSE
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Latest release: 0.1.1
published about 3 years ago
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 37.8%
Downloads: 60.0%
Maintainers (1)
Last synced:
6 months ago
Dependencies
.github/workflows/pkgdown.yaml
actions
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION
cran
- R >= 2.10 depends
- changepoint * imports
- segmented * imports
- strucchange * imports
- knitr * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests
[](https://CRAN.R-project.org/package=StructuralDecompose)
**Note:** Website documentation is still under construction.
**StructuralDecompose** is an algorithm suited to the decomposition of a time series into its component terms of trend, seasonality, and residuals. It is well suited to decompose a series in the presence of significant level shifts.
The algorithm outputs the decomposed trend, seasonality, residuals, as well as anomalies detected.
## Installation
The `StructuralDecompose` package is now available on CRAN.
You can install it like so:
| Type | Source | Command |
|-------------|--------|-------------------------------------------------------------|
| Release | CRAN | `install.packages("StructuralDecompose")` |
| Development | GitHub | `devtools::install_github("StructuralDecompose/StructuralDecompose")` |
Once installed, load the package using:
```r
library(StructuralDecompose)
```