sommer (3.2)

1 user

Solving Mixed Model Equations in R.

http://www.wisc.edu
http://cran.r-project.org/web/packages/sommer

Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous variance models (Covarrubias-Pazaran, 2016 ; Maier et al., 2015 ). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson, and Efficient Mixed Model Association algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures.

Maintainer: Giovanny Covarrubias-Pazaran
Author(s): Giovanny Covarrubias-Pazaran

License: GPL-3

Uses: data.table, lattice, MASS, Matrix, plyr, knitr

Released about 1 month ago.


21 previous versions

Ratings

Overall:

  5.0/5 (1 vote)

Documentation:

  5.0/5 (1 vote)

Log in to vote.

Reviews

No one has written a review of sommer yet. Want to be the first? Write one now.


Related packages: lme4, mboost, MCMCglmm, metafor, pedigreemm, heavy, metamisc(20 best matches, based on common tags.)


Search for sommer on google, google scholar, r-help, r-devel.

Visit sommer on R Graphical Manual.