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 |