README.Rmd

---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

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

# statgenGxE

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

**statgenGxE** is an R package providing functions for Genotype by Environment (GxE) analysis for data of plant breeding experiments.  

The following types of analysis can be done using statgenGxE:

* Mixed model analysis of GxE table of means
* Finlay-Wilkinson Analysis
* AMMI Analysis
* GGE Analysis
* Identifying mega environments
* Stability measures
* Modeling of heterogeneity of genetic variances and correlations

statgenGxE has extensive options for summarizing and visualizing the results of the analyses. For a full overview of all options it is best to read the [**vignette**](https://biometris.github.io/statgenGxE/articles/statgenGxE.html)

## Installation

* Install from CRAN:

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

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

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