getGCovar: getGCovar
In BGLR: Bayesian Generalized Linear Regression
getGCovar R Documentation
getGCovar
Description
Genetic co-variance matrix using MCMC samples.
Usage
getGCovar(X,B)
Arguments
X
(numeric) matrix of covariates.
B
(numeric) matrix that contains samples for regression coefficients, 3D array,
with dim=c(nRow,p,traits), where nRow number of MCMC samples saved, p
is the number of predictors and traits is the number of traits.
Value
Genetic co-variance matrix.
Author(s)
Gustavo de los Campos.
References
Lehermeier, C., G. de los Campos, V. Wimmer and C.-C. Schon. Genomic Variance Estimates: With or without Disequilibrium Covariances?. J Anim Breed Genet., 134 (3): 232-241.
BGLR documentation built on Oct. 8, 2024, 9:07 a.m.
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| getGCovar | R Documentation |
getGCovar
Description
Genetic co-variance matrix using MCMC samples.
Usage
getGCovar(X,B)
Arguments
X |
(numeric) matrix of covariates. |
B |
(numeric) matrix that contains samples for regression coefficients, 3D array, with dim=c(nRow,p,traits), where nRow number of MCMC samples saved, p is the number of predictors and traits is the number of traits. |
Value
Genetic co-variance matrix.
Author(s)
Gustavo de los Campos.
References
Lehermeier, C., G. de los Campos, V. Wimmer and C.-C. Schon. Genomic Variance Estimates: With or without Disequilibrium Covariances?. J Anim Breed Genet., 134 (3): 232-241.
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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