Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models
tools:::Rd_package_title("QGglmm")
Intra - Class Correlation coefficients (ICC) on the observed data scal...
List of functions according to a distribution and a link function
Compute the phenotypic mean on the observed scale
Intra - Class Correlation coefficients (ICC) on the observed data scal...
Compute the multivariate phenotypic mean on the observed scale
Quantitative Genetics parameters from GLMM estimates (multivariate ana...
Predict the evolutionary response to selection on the observed scale
Compute a multivariate "Psi" (used to compute the additive genetic var...
Quantitative Genetics parameters from GLMM estimates.
Predict the evolutionary response to selection on the observed scale
Compute "Psi" (used to compute the additive genetic variance on the ob...
Compute the distribution variance
Compute the variance of expected values (i.e. the latent values after ...
Compute the phenotypic variance-covariance matrix on the observed / ex...
Compute various quantitative genetics parameters from a Generalised Linear Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic mean, phenotypic variance and additive genetic variance.