bootstrap_corr: Computation of a confidence interval for the estimated...

In EstHer: Estimation of Heritability in High Dimensional Sparse Linear Mixed Models using Variable Selection

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

Author(s)

Anna Bonnet and Celine Levy-Leduc

EstHer documentation built on May 2, 2019, 8:49 a.m.