RepeatABEL-package: GWAS for repeated observations on related individuals
In RepeatABEL: GWAS for Multiple Observations on Related Individuals
Description
Details
Author(s)
References
See Also
Description
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.
Details
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.
Author(s)
Lars Ronnegard
Maintainer: Lars Ronnegard <lrn@du.se>
References
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.
See Also
RepeatABEL documentation built on May 2, 2019, 6:08 p.m.
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Description Details Author(s) References See Also
Description
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.
Details
| 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.
Author(s)
Lars Ronnegard
Maintainer: Lars Ronnegard <lrn@du.se>
References
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.
See Also
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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