bootstrap_corr {EstHer}R Documentation

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

Author(s)

Anna Bonnet and Celine Levy-Leduc


[Package EstHer version 1.0 Index]