bootstrap_corr:
Computation of a confidence interval for the estimated heritability.
Description
This function is based on a non parametric bootstrap technique to compute a confidence interval for the heritability. The strength of this method is that it can deal with correlated observations.
Usage
bootstrap_corr(Y,Z,K,eta_hat,sigma2_hat,level,nb_cores)
Arguments
Y
Vector of observations.
Z
Matrix of genetic informations.
K
number of subsamples of Y used to apply our bootstrap technique.
eta_hat
Estimator of the heritability.
sigma2_hat
Estimator of the variance involving the variances of the two random parts of the model.
level
Percentage of values which will be removed from the estimated heritabilities to build a confidence interval.
nb_cores
Number of cores of the computer. It is used for parallelizing the computations.
Value
- CI_up
- Upper bound of the confidence interval for the estimated heritability
- CI_low
- Lower bound of the confidence interval for the estimated heritability