Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (2.36) of this package.
Take me there.
MCMCglmm (version 2.30)
MCMC Generalised Linear Mixed Models
Description
Fits Multi-response Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques.
Copy Link
Link to current version
Version
Version
2.36
2.35
2.34
2.33
2.32
2.31
2.30
2.29
2.28
2.27
2.26
2.25
2.24
2.23
2.22.1
1.13
1.12
1.11
1.10
1.09
1.08
1.07
1.06
1.05
1.04
1.03
1.02
1.01
1.0
Install
install.packages('MCMCglmm')
Monthly Downloads
5,558
Version
2.30
License
GPL (>= 2)
Maintainer
Jarrod Hadfield
Last Published
January 7th, 2021
Functions in MCMCglmm (2.30)
Search all functions
Dtensor
Tensor of (mixed) partial derivatives
PlodiaPO
Phenoloxidase measures on caterpillars of the Indian meal moth.
Ddivergence
d-divergence
MCMCglmm-package
Multivariate Generalised Linear Mixed Models
KPPM
Kronecker Product Permutation Matrix
MCMCglmm
Multivariate Generalised Linear Mixed Models
BTdata
Blue Tit Data for a Quantitative Genetic Experiment
PlodiaR
Resistance 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.
BTped
Blue Tit Pedigree
knorm
(Mixed) Central Moments of a Multivariate Normal Distribution
kunif
Central Moments of a Uniform Distribution
dcmvnorm
Density of a (conditional) multivariate normal variate
evalDtensor
Evaluates a list of (mixed) partial derivatives
list2bdiag
Forms the direct sum from a list of matrices
inverseA
Inverse Relatedness Matrix and Phylogenetic Covariance Matrix
Ptensor
Tensor of Sample (Mixed) Central Moments
at.set
Incidence Matrix of Combined Levels within a Factor
PlodiaRB
Resistance (as a binary trait) of Indian meal moth caterpillars to the granulosis virus PiGV.
buildV
Forms expected (co)variances for GLMMs fitted with MCMCglmm
posterior.ante
Posterior distribution of ante-dependence parameters
mult.memb
Design Matrices for Multiple Membership Models
me
Design Matrix for Measurement Error Model
gelman.prior
Prior Covariance Matrix for Fixed Effects.
commutation
Commutation Matrix
at.level
Incidence Matrix of Levels within a Factor
path
Design Matrix for Path Analyses
rIW
Random Generation from the Conditional Inverse Wishart Distribution
sir
Design Matrix for Simultaneous and Recursive Relationships between Responses
prunePed
Pedigree pruning
simulate.MCMCglmm
Simulate method for GLMMs fitted with MCMCglmm
posterior.evals
Posterior distribution of eigenvalues
spl
Orthogonal Spline Design Matrix
sm2asreml
Converts sparseMatrix to asreml's giv format
posterior.cor
Transforms posterior distribution of covariances into correlations
pkk
Probability that all multinomial categories have a non-zero count.
krzanowski.test
Krzanowski's Comparison of Subspaces
plot.MCMCglmm
Plots MCMC chains from MCMCglmm using plot.mcmc
posterior.mode
Estimates the marginal parameter modes using kernel density estimation
posterior.inverse
Posterior distribution of matrix inverse
predict.MCMCglmm
Predict method for GLMMs fitted with MCMCglmm
rtcmvnorm
Random Generation from a Truncated Conditional Normal Distribution
rbv
Random Generation of MVN Breeding Values and Phylogenetic Effects
plotsubspace
Plots covariance matrices
residuals.MCMCglmm
Residuals form a GLMM fitted with MCMCglmm
rtnorm
Random Generation from a Truncated Normal Distribution
Tri2M
Lower/Upper Triangle Elements of a Matrix
summary.MCMCglmm
Summarising GLMM Fits from MCMCglmm
SShorns
Horn type and genders of Soay Sheep