make.predictions: Make genomic predictions
In UMN-BarleyOatSilphium/GSSimTPUpdate: Code and data to accompany the publication [TITLE]
Description
Usage
Arguments
Value
Description
Uses a RR-BLUP mixed model to predict marker effects given phenotypic and
genotypic data from a training population. Then uses the marker effects
and genotypic data from selection candidates to predict genotypic values for
those candidates. The REML method of estimating variances is used.
Usage
1
make.predictions(pheno.train, geno.train, geno.pred, model = "RRBLUP")
Arguments
pheno.train
A matrix of phenotypes for the training population.
geno.train
An incidence matrix of genotypes for the training population.
geno.pred
An incidence matrix of genotypes for the prediction population
(i.e. selection candidates).
Value
A matrix of GEBVs and the solution list to the mixed model
UMN-BarleyOatSilphium/GSSimTPUpdate documentation built on May 9, 2019, 7:40 p.m.
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Description Usage Arguments Value
Description
Uses a RR-BLUP mixed model to predict marker effects given phenotypic and genotypic data from a training population. Then uses the marker effects and genotypic data from selection candidates to predict genotypic values for those candidates. The REML method of estimating variances is used.
Usage
1 | make.predictions(pheno.train, geno.train, geno.pred, model = "RRBLUP")
|
Arguments
pheno.train |
A matrix of phenotypes for the training population. |
geno.train |
An incidence matrix of genotypes for the training population. |
geno.pred |
An incidence matrix of genotypes for the prediction population (i.e. selection candidates). |
Value
A matrix of GEBVs and the solution list to the mixed model
R Package Documentation
Browse R Packages
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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