# Quantitative Genetics parameters for Generalised Linear Mixed Models

### Description

This package gives the values on the observed scale for several quantitative genetics parameter using estimates from a Generalised Linear Mixed Model (GLMM). If a fitness function is assumed or measured, it also predicts the evolutionary response to selection on the observed scale.

The two main functions of this package are `QGparams`

and `QGpred`

. The first allows to compute the quantitative genetics parameters on the observed scale for any given GLMM and its estimates. The second allows to compute a predicted response to evolution on the observed scale using GLMM estimates and an assumed/measured/inferred fitness function.

For some distribution/link models (e.g. Binomial/probit and Poisson and Negative Binomial with logartihm or square-root link), a closed form solutions of the integrals computed by this package are available. They are automatially used by `QGparams`

and this function only.

### Details

Package: | QGglmm |

Type: | Package |

Version: | 0.4 |

Date: | 2016-07-13 |

License: | GPL-2 |