ship

This is the repository for the package SHIP

https://github.com/vguillemot/ship

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
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

This is the repository for the package SHIP

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme

README.Rmd

---
output: github_document
---




[![CRAN Status](https://www.r-pkg.org/badges/version/SHIP)](https://cran.r-project.org/package=SHIP){.SHIP-release}


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

# SHrinkage covariance Incorporating Prior knowledge




 
 
The SHIP package implements the shrinkage estimator of a covariance matrix
given any covariance target, such as described by Schaefer and Strimmer in
2005.  In addition, it proposes several targets based on biological
knowledge extracted from the public database KEGG.
 
To use the shrinkage estimator, one should just have at hand a data set in
the form of a $n \times p$ matrix, and a covariance target.

If one wishes to use the proposed targets, the data set should be compatible
with KEGG, i.e. it should be possible to extract for each gene the pathways
it belongs to.  This information, for example, can be found in libraries
such as hgu133plus2.db.
## Installation

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

``` r
# install.packages("devtools")
devtools::install_github("vguillemot/SHIP")
```

Owner

  • Name: Vincent Guillemot
  • Login: vguillemot
  • Kind: user
  • Location: Paris
  • Company: @C3BI-pasteur-fr

GitHub Events

Total
  • Push event: 4
Last Year
  • Push event: 4