transformConstraints

a list of matrices with constraints according to the rules specified in the vs function (0: not to be estimated, 1: positive, 2:unconstrained, 3:fixed).

list0

value to be used to replace all the non-zero values in the constraint matrices.

value

<code>transformConstraints</code> takes a list of matrices with constraints and transforms all the non-zero values to the value desired. The purpose of this function is to make easy the transformation of initial constraints to a fixed-constraint list to be provided to a mixed model fitted with the mmer function.

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 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). 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 the two-dimensional spline functionality available in sommer.

transformConstraints: transformConstraints

Description

Usage

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Value

References

See Also

Examples