NAM (1.6)

Nested Association Mapping.

Designed for association studies in nested association mapping (NAM) panels, experimental and random panels. The method is described by Xavier et al. (2015) . It includes tools for genome-wide associations of multiple populations, marker quality control, population genetics analysis, genome-wide prediction, solving mixed models and finding variance components through likelihood and Bayesian methods.

Maintainer: Alencar Xavier
Author(s): Alencar Xavier, William Muir, Katy Rainey, Shizhong Xu.

License: GPL-3

Uses: randomForest, Rcpp, lme4, glmnet, knitr, rmarkdown

Released over 1 year ago.