rospca

Robust Sparse PCA using the ROSPCA algorithm of Hubert et al. (2016)

https://github.com/treynkens/rospca

Science Score: 13.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.2%) to scientific vocabulary

Keywords

robust-pca sparse-data
Last synced: 6 months ago · JSON representation

Repository

Robust Sparse PCA using the ROSPCA algorithm of Hubert et al. (2016)

Basic Info
Statistics
  • Stars: 13
  • Watchers: 4
  • Forks: 4
  • Open Issues: 0
  • Releases: 7
Topics
robust-pca sparse-data
Created almost 10 years ago · Last pushed about 1 year ago
Metadata Files
Readme

README.Rmd

---
output:
  md_document:
    variant: gfm
references:
- id: rospca
  title: "Sparse PCA for High-Dimensional Data With Outliers"
  author:
  - family: Hubert
    given: Mia
  - family: Reynkens
    given: Tom
  - family: Schmitt
    given: Eric
  - family: Verdonck
    given: Tim
  type: article-journal
  container-title: Technometrics
  volume: 58
  issue: 4
  issued:
    year: 2016
  page: 424-434
---



```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```

# rospca
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/rospca)](https://cran.r-project.org/package=rospca)

The rospca package contains the implementation of robust sparse PCA using the ROSPCA algorithm of @rospca.
Moreover, the simulation study and glass dataset discussed in this paper are included.

This package relies heavily on the code from Valentin Todorov for *rrcov* and on the *mrfDepth* package.

The latest development version of *rospca* can be installed from GitHub using

```
install.packages("remotes")

remotes::install_github("TReynkens/rospca")
```
If you work on Windows, make sure first that [Rtools](https://cran.r-project.org/bin/windows/Rtools/) is installed when installing the development version from GitHub.

## References

GitHub Events

Total
  • Watch event: 1
  • Push event: 1
Last Year
  • Watch event: 1
  • Push event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 81
  • Total Committers: 1
  • Avg Commits per committer: 81.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
tom.reynkens@hotmail.com t****s@h****m 81

Packages

  • Total packages: 1
  • Total downloads:
    • cran 542 last-month
  • Total docker downloads: 43,390
  • Total dependent packages: 1
  • Total dependent repositories: 1
  • Total versions: 7
  • Total maintainers: 1
cran.r-project.org: rospca

Robust Sparse PCA using the ROSPCA Algorithm

  • Versions: 7
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 542 Last month
  • Docker Downloads: 43,390
Rankings
Docker downloads count: 0.6%
Forks count: 12.2%
Stargazers count: 15.1%
Average: 16.8%
Dependent packages count: 18.1%
Dependent repos count: 24.0%
Downloads: 30.7%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 2.14.0 depends
  • elasticnet * imports
  • graphics * imports
  • mrfDepth >= 1.0.5 imports
  • mvtnorm * imports
  • parallel * imports
  • pcaPP * imports
  • pracma * imports
  • robustbase >= 0.92 imports
  • rrcov * imports
  • rrcovHD >= 0.2 imports
  • stats * imports