sommer (4.0.9)

1 user

Solving Mixed Model Equations in R.

Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects and unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 2016 ; Maier et al., 2015 ). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) and dense known covariance structures for levels of random effects. Spatial models can also be fitted using i.e. the two-dimensional spline functionality available in sommer.

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

License: GPL (>= 2)

Uses: crayon, lattice, MASS, Matrix, Rcpp, orthopolynom, plyr, knitr
Reverse suggests: MoBPS
Reverse enhances: emmeans

Released 4 months ago.

36 previous versions



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