Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models

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Documentation for package ‘QGglmm’ version 0.7.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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QGglmm-package	Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models
QGglmm	Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models
QGicc	Intra - Class Correlation coefficients (ICC) on the observed data scale
QGlink.funcs	List of functions according to a distribution and a link function
QGmean	Compute the phenotypic mean on the observed scale
QGmvicc	Intra - Class Correlation coefficients (ICC) on the observed data scale (multivariate analysis).
QGmvmean	Compute the multivariate phenotypic mean on the observed scale
QGmvparams	Quantitative Genetics parameters from GLMM estimates (multivariate analysis).
QGmvpred	Predict the evolutionary response to selection on the observed scale
QGmvpsi	Compute a multivariate "Psi" (used to compute the additive genetic variance on the observed scale).
QGparams	Quantitative Genetics parameters from GLMM estimates.
QGpred	Predict the evolutionary response to selection on the observed scale
QGpsi	Compute "Psi" (used to compute the additive genetic variance on the observed scale).
QGvar.dist	Compute the distribution variance
QGvar.exp	Compute the variance of expected values (i.e. the latent values after inverse-link transformation.)
QGvcov	Compute the phenotypic variance-covariance matrix on the observed / expected scale