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.

AuthorAnna Bonnet and Celine Levy-Leduc
Date of publication2015-07-23 16:32:59
MaintainerAnna Bonnet <anna.bonnet@agroparistech.fr>
LicenseGPL-2
Version1.0

View on CRAN

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.