| 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 |