solveRRBLUP_EM {AlphaSimR} | R Documentation |

Solves a univariate mixed model of form `y=X\beta+Mu+e`

using
the Expectation-Maximization algorithm.

```
solveRRBLUP_EM(Y, X, M, Vu, Ve, tol, maxIter, useEM)
```

`Y` |
a matrix with n rows and 1 column |

`X` |
a matrix with n rows and x columns |

`M` |
a matrix with n rows and m columns |

`Vu` |
initial guess for variance of marker effects |

`Ve` |
initial guess for error variance |

`tol` |
tolerance for declaring convergence |

`maxIter` |
maximum iteration for attempting convergence |

`useEM` |
should EM algorithm be used. If false, no estimation of variance components is performed. The initial values are treated as true. |

[Package *AlphaSimR* version 1.3.2 Index]