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

Our method is a variable selection method to select active components in sparse linear mixed models in order to estimate the heritability. The selection allows us to reduce the size of the data sets which improves the accuracy of the estimations. Our package also provides a confidence interval for the estimated heritability.

Version: 1.0
Depends: R (≥ 2.10), glmnet, parallel, MASS
Imports: Rcpp (≥ 0.11.5)
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-07-23
Author: Anna Bonnet and Celine Levy-Leduc
Maintainer: Anna Bonnet <anna.bonnet at>
License: GPL-2
NeedsCompilation: yes
CRAN checks: EstHer results


Reference manual: EstHer.pdf
Package source: EstHer_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: EstHer_1.0.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: EstHer_1.0.tgz