| MCMCglmm-package | Multivariate Generalised Linear Mixed Models |
| at.level | Incidence Matrix of Levels within a Factor |
| at.set | Incidence Matrix of Combined Levels within a Factor |
| BTdata | Blue Tit Data for a Quantitative Genetic Experiment |
| BTped | Blue Tit Pedigree |
| buildV | Forms expected (co)variances for GLMMs fitted with MCMCglmm |
| commutation | Commutation Matrix |
| dcmvnorm | Density of a (conditional) multivariate normal variate |
| Ddivergence | d-divergence |
| Dexpressions | List of unevaluated expressions for (mixed) partial derivatives of fitness with respect to linear predictors. |
| Dtensor | Tensor of (mixed) partial derivatives |
| evalDtensor | Evaluates a list of (mixed) partial derivatives |
| gelman.prior | Prior Covariance Matrix for Fixed Effects. |
| inverseA | Inverse Relatedness Matrix and Phylogenetic Covariance Matrix |
| knorm | (Mixed) Central Moments of a Multivariate Normal Distribution |
| KPPM | Kronecker Product Permutation Matrix |
| krzanowski.test | Krzanowski's Comparison of Subspaces |
| kunif | Central Moments of a Uniform Distribution |
| list2bdiag | Forms the direct sum from a list of matrices |
| MCMCglmm | Multivariate Generalised Linear Mixed Models |
| me | Design Matrix for Measurement Error Model |
| mult.memb | Design Matrices for Multiple Membership Models |
| path | Design Matrix for Path Analyses |
| pkk | Probability that all multinomial categories have a non-zero count. |
| PlodiaPO | Phenoloxidase measures on caterpillars of the Indian meal moth. |
| PlodiaR | Resistance of Indian meal moth caterpillars to the granulosis virus PiGV. |
| PlodiaRB | Resistance (as a binary trait) of Indian meal moth caterpillars to the granulosis virus PiGV. |
| plot.MCMCglmm | Plots MCMC chains from MCMCglmm using plot.mcmc |
| plotsubspace | Plots covariance matrices |
| posterior.ante | Posterior distribution of ante-dependence parameters |
| posterior.cor | Transforms posterior distribution of covariances into correlations |
| posterior.evals | Posterior distribution of eigenvalues |
| posterior.inverse | Posterior distribution of matrix inverse |
| posterior.mode | Estimates the marginal parameter modes using kernel density estimation |
| predict.MCMCglmm | Predict method for GLMMs fitted with MCMCglmm |
| print.MCMCglmm | Summarising GLMM Fits from MCMCglmm |
| print.summary.MCMCglmm | Summarising GLMM Fits from MCMCglmm |
| prunePed | Pedigree pruning |
| Ptensor | Tensor of Sample (Mixed) Central Moments |
| rbv | Random Generation of MVN Breeding Values and Phylogenetic Effects |
| residuals.MCMCglmm | Residuals form a GLMM fitted with MCMCglmm |
| rIW | Random Generation from the Conditional Inverse Wishart Distribution |
| rtcmvnorm | Random Generation from a Truncated Conditional Normal Distribution |
| rtnorm | Random Generation from a Truncated Normal Distribution |
| simulate.MCMCglmm | Simulate method for GLMMs fitted with MCMCglmm |
| sir | Design Matrix for Simultaneous and Recursive Relationships between Responses |
| sm2asreml | Converts sparseMatrix to asreml's giv format |
| spl | Orthogonal Spline Design Matrix |
| SShorns | Horn type and genders of Soay Sheep |
| summary.MCMCglmm | Summarising GLMM Fits from MCMCglmm |
| Tri2M | Lower/Upper Triangle Elements of a Matrix |