Description Usage Arguments Value
Perform expectation-maximization algorithm to infer Vg and Ve values for a pair of traits.
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max_iter |
maximum number of iterations for EM algorithm |
max_prec |
maximum precision for EM algorithm |
eval |
vector of eigenvalues from relatedness matrix decomposition |
X |
design matrix. Typically contains founder allele dosages. |
Y |
matrix of phenotype values |
V_g |
genetic covariance matrix |
V_e |
error covariance matrix |
verbose_output |
logical indicating whether to output entire collection of intermediate values for all iterations. Default is FALSE. |
a list of lists. Length of list corresponds to number of EM iterations
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