Extract the fixed effects, random effects, variance of the fixed effects, or variance of the random effects from a linear mixed effects model fit with lmekin.

1 2 3 4 5 6 7 8 9 10 |

`object` |
an object inheriting from class |

`x` |
an object inheriting from class |

`...` |
some methods for this generic require additional arguments. None are used in this method. |

For the random effects model *y = X beta
+ Zb + e*, let *s^2* be the variance of the error term
*e*.
Let *A = sP* be the variance of the random effects
*b*. There is a computational advantage to solving the problem
in terms of *P* instead of *A*, and that is what is
stored in the returned lmekin object.
The `VarCorr`

function returns elements of *P*; the print
and summary functions report values of *A*.
Pinhiero and Bates call *P* the precision factor.

the fixed effects are a vector and vcov returns their variance/covariance matrix. The random effects are a list with one element for each random effect. The ranef component contains the coefficients and VarCorr the estimated variance/covariance matrix. The logLik method returns the loglikelihood along with its degrees of freedom.

Terry Therneau

J Pinheiro and D Bates, Mixed-effects models in S and S-Plus. Springer, 2000.

`lmekin`

, `random.effects`

,
`fixed.effects`

, `link{vcov}`

, `VarCorr`

1 2 3 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.