transformConstraints

<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 with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.

Giovanny Covarrubias-Pazaran

sommer

Solving Mixed Model Equations in R

transformConstraints function

<dl> <dt>list0</dt>
<dd>a list of matrices with constraints according to the rules specified in the vsr function (0: not to be estimated, 1: positive, 2:unconstrained, 3:fixed).</dd> <dt>value</dt>
<dd>value to be used to replace all the non-zero values in the constraint matrices.</dd></dl>

Arguments

Author

transformConstraints — transformConstraints

<dl>

 <dt>list0</dt>
<dd>a list of matrices with constraints according to the rules specified in the vsr function (0: not to be estimated, 1: positive, 2:unconstrained, 3:fixed).</dd>

 <dt>value</dt>
<dd>value to be used to replace all the non-zero values in the constraint matrices.</dd>

</dl>

transformConstraints: transformConstraints

Description

Usage

Value

Arguments

Author

References

See Also

Examples