covUnstr: Compute unstructured covariance
| covUnstr | R Documentation |
Compute unstructured covariance
Description
Compute unstructured covariance pairwise using covPairwise or using a
single model using covUnstr.
Usage
covUnstr(Y, K, X = NULL, fixDiag = FALSE, VeDiag = FALSE)
covPW(Y, K, X = NULL, fixDiag = FALSE, corMat = FALSE, parallel = FALSE)
Arguments
Y |
An n x p matrix of observed phenotypes, on p traits or trials for n individuals. No missing values are allowed. |
K |
An n x n kinship matrix. |
X |
An n x c covariate matrix, c being the number of covariates and n being the number of genotypes. |
fixDiag |
Should the diagonal of the covariate matrix be fixed during calculations? – NOT YET IMPLEMENTED |
VeDiag |
Should Ve be a diagonal matrix? |
corMat |
Should the output be a correlation matrix instead of a covariance matrix? |
parallel |
Should the computation of variance components be done in parallel? |
Value
A list of two matrices Vg and Ve containing genotypic
and environmental variance components respectively.
