Calculates realized additive (genomic) relationship matrix.
GRM(X, smallValue)
Argument | Description |
---|---|
X |
is a (numeric, |
smallValue |
is a numeric valeu that can be added to the diagonal of the genomic relationship matrix (GRM). |
VanRaden, Paul M. Efficient methods to compute genomic predictions. Journal of dairy science 91.11 (2008): 4414-4423.
Su G, Christensen OF, Ostersen T, Henryon M, Lund MS. 2012. Estimating Additive and Non-Additive Genetic Variances and Predicting Genetic Merits Using Genome-Wide Dense Single Nucleotide Polymorphism Markers. PLoS ONE 7(9): e45293. doi:10.1371/journal.pone.0045293
## Not to run ##
## GRM(X, smallValue)
## End(Not run)
Calculates realized dominance relationship matrix.
DRM(X)
Argument | Description |
---|---|
X |
is a (numeric, |
VanRaden, Paul M. Efficient methods to compute genomic predictions. Journal of dairy science 91.11 (2008): 4414-4423.
Su G, Christensen OF, Ostersen T, Henryon M, Lund MS. 2012. Estimating Additive and Non-Additive Genetic Variances and Predicting Genetic Merits Using Genome-Wide Dense Single Nucleotide Polymorphism Markers. PLoS ONE 7(9): e45293. doi:10.1371/journal.pone.0045293
## Not to run ##
## DRM(X)
## End(Not run)
Calculates the the Pedigree-based Additive Relationship Matrix. This is twice the pedigree based kinship matrix.
NRM(Pedig)
Argument | Description |
---|---|
Pedig |
Data frame containing the Pedigree. The data frame has columns (1) Individual, (2) Sire, (3) Dam. Missing parents are coded as NA. |
Additive relationship matrix.
## Not to run ##
## NRM(Pedig)
## End(Not run)