simGECorMat

Makes a simple correlation matrix based on the number of environments and megaenvironments desired.

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

simGECorMat function

<dl> <dt>nEnv</dt>
<dd>Number of environments to simulate. Needs to be divisible by the nMegaEnv argument.</dd><dt>nMegaEnv</dt>
<dd>Number of megaenvironments to simulate.</dd><dt>mu</dt>
<dd>Mean value of the genetic correlation within megaenvironments.</dd><dt>v</dt>
<dd>variance in the genetic correlation within megaenvironments.</dd><dt>mu2</dt>
<dd>Mean value of the genetic correlation between megaenvironments.</dd><dt>v2</dt>
<dd>variance in the genetic correlation between megaenvironments.</dd></dl>

Arguments

Create a GE correlation matrix for simulation purposes. — simGECorMat

<dl>

 <dt>nEnv</dt>
<dd>Number of environments to simulate. Needs to be divisible by the nMegaEnv argument.</dd>

<dt>nMegaEnv</dt>
<dd>Number of megaenvironments to simulate.</dd>

<dt>mu</dt>
<dd>Mean value of the genetic correlation within megaenvironments.</dd>

<dt>v</dt>
<dd>variance in the genetic correlation within megaenvironments.</dd>

<dt>mu2</dt>
<dd>Mean value of the genetic correlation between megaenvironments.</dd>

<dt>v2</dt>
<dd>variance in the genetic correlation between megaenvironments.</dd>

</dl>

simGECorMat: Create a GE correlation matrix for simulation purposes.

Description

Usage

Value

Arguments

Details

References

Examples