Description Usage Arguments Value Author(s) References Examples
The function computes heritability when the random effects follow either a Gaussian distribution or a mixture of a Dirac and a Gaussian distribution. It also provides a confidence interval of heritability when the random effects are Gaussian.
1 |
Y |
vector of observations of size n |
W |
matrix with n rows and N columns |
heritability |
Heritability |
CI_low |
Lower bound of the confidence interval |
CI_up |
Upper bound of the confidence interval |
standard_deviation |
Standard deviation |
Anna Bonnet
The method is developped in the paper "Heritability estimation in high dimensional linear mixed models" (A.Bonnet,E.Gassiat,C.L??vy-Leduc,2014)
1 2 3 4 5 6 7 | library(HiLMM)
data(Y)
data(W)
estim_herit(Y,W)$heritability
estim_herit(Y,W)$CI_low
estim_herit(Y,W)$CI_up
estim_herit(Y,W)$standard_deviation
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