MCMC Generalised Linear Mixed Models
Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques.
Blue Tit Data for a Quantitative Genetic Experiment
Blue Tit Pedigree
d-divergence
List of unevaluated expressions for (mixed) partial derivatives of fitness with respect to linear predictors.
Tensor of (mixed) partial derivatives
Kronecker Product Permutation Matrix
Multivariate Generalised Linear Mixed Models
Phenoloxidase measures on caterpillars of the Indian meal moth.
Resistance of Indian meal moth caterpillars to the granulosis virus PiGV.
Resistance (as a binary trait) of Indian meal moth caterpillars to the granulosis virus PiGV.
Tensor of Sample (Mixed) Central Moments
Horn type and genders of Soay Sheep
Lower/Upper Triangle Elements of a Matrix
Incidence Matrix of Levels within a Factor
Incidence Matrix of Combined Levels within a Factor
Forms expected (co)variances for GLMMs fitted with MCMCglmm
Commutation Matrix
Density of a (conditional) multivariate normal variate
Evaluates a list of (mixed) partial derivatives
Prior Covariance Matrix for Fixed Effects.
Inverse Relatedness Matrix and Phylogenetic Covariance Matrix
(Mixed) Central Moments of a Multivariate Normal Distribution
Krzanowski's Comparison of Subspaces
Central Moments of a Uniform Distribution
Forms the direct sum from a list of matrices
Design Matrix for Measurement Error Model
Design Matrices for Multiple Membership Models
Design Matrix for Path Analyses
Probability that all multinomial categories have a non-zero count.
Plots MCMC chains from MCMCglmm using plot.mcmc
Plots covariance matrices
Posterior distribution of ante-dependence parameters
Transforms posterior distribution of covariances into correlations
Posterior distribution of eigenvalues
Posterior distribution of matrix inverse
Estimates the marginal parameter modes using kernel density estimation
Predict method for GLMMs fitted with MCMCglmm
Pedigree pruning
Random Generation from the Conditional Inverse Wishart Distribution
Random Generation of MVN Breeding Values and Phylogenetic Effects
Residuals form a GLMM fitted with MCMCglmm
Random Generation from a Truncated Conditional Normal Distribution
Random Generation from a Truncated Normal Distribution
Simulate method for GLMMs fitted with MCMCglmm
Design Matrix for Simultaneous and Recursive Relationships between Responses
Converts sparseMatrix to asreml's giv format
Orthogonal Spline Design Matrix
Summarising GLMM Fits from MCMCglmm
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