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Open Source Science

https://github.com/biometris/statgenqtlxt

See https://biometris.github.io/statgenQTLxT for a full description

https://github.com/biometris/statgenqtlxt

Science Score: 26.0%

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
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
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    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (14.6%) to scientific vocabulary

Keywords

cran genetics gwas multi-trait-analysis r-package
Last synced: 5 months ago · JSON representation

Repository

See https://biometris.github.io/statgenQTLxT for a full description

Basic Info
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
cran genetics gwas multi-trait-analysis r-package
Created about 3 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "75%"
)
```

# statgenQTLxT


[![](https://www.r-pkg.org/badges/version/statgenQTLxT)](https://www.r-pkg.org/pkg/statgenQTLxT)
[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/statgenQTLxT)](https://www.r-pkg.org/pkg/statgenQTLxT)
[![R-CMD-check](https://github.com/Biometris/statgenQTLxT/workflows/R-CMD-check/badge.svg)](https://github.com/Biometris/statgenQTLxT/actions?workflow=R-CMD-check)
[![codecov](https://codecov.io/gh/Biometris/statgenQTLxT/branch/main/graph/badge.svg)](https://app.codecov.io/gh/Biometris/statgenQTLxT)

**statgenQTLxT** is an R package for fast multi-trait and multi-trial Genome Wide Association Studies (GWAS).

statgenQTLxT has extensive options for summarizing and visualizing results. It builds on the `statgenGWAS` package (for single trait GWAS) which is available from [CRAN](https://biometris.github.io/statgenGWAS/). The package uses data structures and plots defined in the `statgenGWAS` package. It is recommended to read the vignette of this package, accessible in R via `vignette(package = "statgenGWAS")` or online at  to get a general idea of those. 

For a full description of the theoretical background and a fully worked example see the [**vignette**](https://biometris.github.io/statgenQTLxT/articles/statgenQTLxT.html).

## Installation

* Install from CRAN:

```{r, eval = FALSE}
install.packages("statgenQTLxT")
```

* Install latest development version from GitHub (requires [remotes](https://github.com/r-lib/remotes) package):

```{r, eval = FALSE}
remotes::install_github("Biometris/statgenQTLxT", ref = "develop", dependencies = TRUE)
```

Owner

  • Name: Wageningen Universtiy & Research, Biometris
  • Login: Biometris
  • Kind: organization
  • Email: biometris@wur.nl
  • Location: Wageningen, The Netherlands

Biometris develops statistical and mathematical methods for the quantification of biological processes and processes in our living environment.

GitHub Events

Total
  • Push event: 4
  • Fork event: 1
  • Create event: 1
Last Year
  • Push event: 4
  • Fork event: 1
  • Create event: 1

Dependencies

.github/workflows/check.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.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
.github/workflows/test-coverage.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • R >= 3.5 depends
  • Rcpp * imports
  • data.table * imports
  • foreach * imports
  • sommer >= 4.2.0 imports
  • statgenGWAS >= 1.0.9 imports
  • covr * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • tinytest * suggests