### R/wgaim:
An R package for efficient whole genome QTL analysis

**Authors**: Julian Taylor & Ari Verbyla

This is the public facing GitHub repository verison of the R package
wgaim available
on CRAN. This repository is updated more regularly than the CRAN version
of the package and includes minor additions and small bug fixes. Please
check the badges at the top of this README and the NEWS for the
package.

**R/wgaim** is a whole genome average interval mapping R
package that implements the original wgaim algorithm derived in Verbyla
et al. (2007, 2012). The packages main QTL analysis function uses
ASReml-R V4 for its core linear mixed modelling. To use full
functionality of the package users will require a valid license for
ASReml-R V4 and this can be obtained from https://vsni.co.uk/software/asreml-r/.

To install the package from GitHub you will need to do the
following:

- Install the devtools package.
Do this by invoking R and then typing

`install.packages("devtools")`

- Install wgaim using

`devtools::install_github("DrJ001/wgaim")`

#### Getting Started

For a quick but complete introduction of the functionality of the
package please visit the vignette
on the CRAN package page.

#### References

Verbyla, A.P., Cullis, B.R. & Thompson, R. (2007) The analysis of
QTL by simultaneous use of the of the full linkage map. *Theoretical
and Applied Genetics*, **116**, 95-111.

Verbyla, A.P., Taylor, J.D. & Verbyla, K.L. (2012) RWGAIM: An
efficient high dimensional random whole genome average (QTL) interval
mapping approach. *Genetics Research*, **94**,
291-306.