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.


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1.0 by Anna Bonnet, 4 years ago

Browse source code at

Authors: Anna Bonnet and Celine Levy-Leduc

Documentation:   PDF Manual  

GPL-2 license

Imports Rcpp

Depends on glmnet, parallel, MASS

Linking to Rcpp, RcppArmadillo

See at CRAN