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.

Author
Anna Bonnet and Celine Levy-Leduc
Date of publication
2015-07-23 16:32:59
Maintainer
Anna Bonnet <anna.bonnet@agroparistech.fr>
License
GPL-2
Version
1.0

View on CRAN

Man pages

bootstrap_corr
Computation of a confidence interval for the estimated...
EstHer-package
Estimation of Heritability in High Dimensional Sparse Linear...
estim_herit
Estimation of heritability in linear mixed models.
prod_cpp
Additional function
Selvar
Estimation of heritability in high dimensional sparse linear...
W
Genetic matrix
X
Matrix of fixed effects
Y
Vector of observations

Files in this package

EstHer
EstHer/src
EstHer/src/Makevars
EstHer/src/prod_cpp.cpp
EstHer/src/RcppExports.cpp
EstHer/NAMESPACE
EstHer/data
EstHer/data/W.rda
EstHer/data/X.rda
EstHer/data/Y.rda
EstHer/R
EstHer/R/bootstrap_corr.R
EstHer/R/Selvar.R
EstHer/R/RcppExports.R
EstHer/R/estim_herit.R
EstHer/MD5
EstHer/DESCRIPTION
EstHer/man
EstHer/man/W.Rd
EstHer/man/prod_cpp.Rd
EstHer/man/EstHer-package.Rd
EstHer/man/Selvar.Rd
EstHer/man/bootstrap_corr.Rd
EstHer/man/estim_herit.Rd
EstHer/man/X.Rd
EstHer/man/Y.Rd