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MCMCglmm (version 2.26)
MCMC Generalised Linear Mixed Models
Description
MCMC Generalised Linear Mixed Models.
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Install
install.packages('MCMCglmm')
Monthly Downloads
9,015
Version
2.26
License
GPL (>= 2)
Maintainer
Jarrod Hadfield
Last Published
July 3rd, 2018
Functions in MCMCglmm (2.26)
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commutation
Commutation Matrix
plot.MCMCglmm
Plots MCMC chains from MCMCglmm using plot.mcmc
mult.memb
Design Matrices for Multiple Membership Models
posterior.ante
Posterior distribution of ante-dependence parameters
krzanowski.test
Krzanowski's Comparison of Subspaces
knorm
(Mixed) Central Moments of a Multivariate Normal Distribution
posterior.inverse
Posterior distribution of matrix inverse
posterior.evals
Posterior distribution of eigenvalues
posterior.cor
Transforms posterior distribution of covariances into correlations
path
Design Matrix for Path Analyses
spl
Orthogonal Spline Design Matrix
sm2asreml
Converts sparseMatrix to asreml's giv format
kunif
Central Moments of a Uniform Distribution
plotsubspace
Plots covariance matrices
list2bdiag
Forms the direct sum from a list of matrices
prunePed
Pedigree pruning
summary.MCMCglmm
Summarising GLMM Fits from MCMCglmm
rbv
Random Generation of MVN Breeding Values and Phylogenetic Effects
rIW
Random Generation from the Conditional Inverse Wishart Distribution
residuals.MCMCglmm
Residuals form a GLMM fitted with MCMCglmm
posterior.mode
Estimates the marginal parameter modes using kernel density estimation
gelman.prior
Prior Covariance Matrix for Fixed Effects.
rtnorm
Random Generation from a Truncated Normal Distribution
inverseA
Inverse Relatedness Matrix and Phylogenetic Covariance Matrix
rtcmvnorm
Random Generation from a Truncated Conditional Normal Distribution
sir
Design Matrix for Simultaneous and Recursive Relationships between Responses
simulate.MCMCglmm
Simulate method for GLMMs fitted with MCMCglmm
predict.MCMCglmm
Predict method for GLMMs fitted with MCMCglmm
MCMCglmm-package
Multivariate Generalised Linear Mixed Models
Dtensor
Tensor of (mixed) partial derivatives
BTdata
Blue Tit Data for a Quantitative Genetic Experiment
KPPM
Kronecker Product Permutation Matrix
PlodiaR
Resistance of Indian meal moth caterpillars to the granulosis virus PiGV.
BTped
Blue Tit Pedigree
MCMCglmm
Multivariate Generalised Linear Mixed Models
SShorns
Horn type and genders of Soay Sheep
Tri2M
Lower/Upper Triangle Elements of a Matrix
PlodiaRB
Resistance (as a binary trait) of Indian meal moth caterpillars to the granulosis virus PiGV.
Dexpressions
List of unevaluated expressions for (mixed) partial derivatives of fitness with respect to linear predictors.
Ddivergence
d-divergence
dcmvnorm
Density of a (conditional) multivariate normal variate
PlodiaPO
Phenoloxidase measures on caterpillars of the Indian meal moth.
Ptensor
Tensor of Sample (Mixed) Central Moments
buildV
Forms expected (co)variances for GLMMs fitted with MCMCglmm
at.level
Incidence Matrix of Levels within a Factor
at.set
Incidence Matrix of Combined Levels within a Factor
evalDtensor
Evaluates a list of (mixed) partial derivatives