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composits

https://github.com/sevvandi/composits

Science Score: 10.0%

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
  • ✓
    Committers with academic emails
    3 of 5 committers (60.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.7%) to scientific vocabulary

Keywords

compositional detection ensemble-model multivariate-timeseries outlier time-series
Last synced: 6 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 0
  • Watchers: 4
  • Forks: 0
  • Open Issues: 2
  • Releases: 0
Topics
compositional detection ensemble-model multivariate-timeseries outlier time-series
Created over 5 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
bibliography: vignettes/bibliography.bib
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# composits 

 
  [![R-CMD-check](https://github.com/sevvandi/composits/workflows/R-CMD-check/badge.svg)](https://github.com/sevvandi/composits/actions)
  


The goal of *composits* is to find outliers in compositional, multivariate and univariate time series. It is an outlier ensemble method that uses the packages ```forecast```, ```tsoutliers```, ```anomalize``` and ```otsad```. 

## Installation

You can install the released version of composits from [CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("composits")
```

You can install the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("sevvandi/composits")
```

## Example

```{r example}
library(composits)
set.seed(100)
n <- 600
x <- sample(1:100, n, replace=TRUE)
x[320] <- 300
x2 <- sample(1:100, n, replace=TRUE)
x3 <- sample(1:100, n, replace=TRUE)
X <- cbind.data.frame(x, x2, x3)
x4 <- sample(1:100, n, replace=TRUE)
X <- cbind.data.frame(x, x2, x3, x4)
out <- mv_tsout_ens(X)
out$all
out$outliers
```

See our  [website](https://sevvandi.github.io/composits/index.html) or our paper [@composits] for more examples.   

# References

Owner

  • Name: Sevvandi Kandanaarachchi
  • Login: sevvandi
  • Kind: user
  • Location: Clayton VIC
  • Company: CSIRO

Senior Research Scientist, Data61, CSIRO

GitHub Events

Total
Last Year

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 69
  • Total Committers: 5
  • Avg Commits per committer: 13.8
  • Development Distribution Score (DDS): 0.536
Top Committers
Name Email Commits
sevvandi s****i@m****u 32
Ursula Laa u****a@g****t 18
Patricia Menendez p****z@m****u 11
sevvandi s****i@r****u 6
RubenLoaiza r****a@g****m 2
Committer Domains (Top 20 + Academic)
monash.edu: 2 rmit.edu.au: 1 gmx.at: 1

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 2
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 0.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • marcozanotti (1)
  • rsbivand (1)
Pull Request Authors
Top Labels
Issue Labels
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Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: composits

Compositional, Multivariate and Univariate Time Series Outlier Ensemble

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Average: 32.3%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Maintainers (1)
sevvandik@gmail.com
Last synced: almost 2 years ago

Dependencies

DESCRIPTION cran
  • R >= 3.4.0 depends
  • ICS * imports
  • anomalize * imports
  • dobin * imports
  • dplyr * imports
  • fastICA * imports
  • forecast * imports
  • ggplot2 * imports
  • grid * imports
  • gridExtra * imports
  • kableExtra * imports
  • otsad * imports
  • pracma * imports
  • rlang * imports
  • tibble * imports
  • tidyr * imports
  • tsoutliers * imports
  • broom * suggests
  • knitr * suggests
  • maptools * suggests
  • rmarkdown * suggests
  • stringr * suggests
  • tourr * suggests