Description Details Author(s) References See Also
The RepeatABEL
package computes score statistic based p-values for a
linear mixed model including random polygenic effects and a random effect for
repeated measurements. A p-value is computed for each marker and the null
hypothesis tested is that the additive marker effect is zero.
Package: | RepeatABEL |
Type: | Package |
Version: | 1.1 |
Date: | 2016-08-19 |
License: | GPL |
Depends: | hglm, GenABEL |
The core function is rGLS
that requires an GenABEL object as input
and produces an GenABEL object.
Lars Ronnegard
Maintainer: Lars Ronnegard <lrn@du.se>
Ronnegard et al. (2016). Increasing the power of genome wide association studies in natural populations using repeated measures: evaluation and implementation.. Methods in Ecology and Evolution, 7, 792-799.
Husby et al. (2015) Genome-wide association mapping in a wild avian population identifies a link between genetic and phenotypic variation in a life history trait. Proceedings of the Royal Society B: Biological Sciences, 282(1806), 20150156.
Ronnegard, Shen & Alam (2010). hglm: A Package for Fitting Hierarchical Generalized Linear Models. The R Journal, 2(2), 20-28.
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