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MCMCglmm (version 2.36)

MCMC Generalised Linear Mixed Models

Description

Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).

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Install

install.packages('MCMCglmm')

Monthly Downloads

6,289

Version

2.36

License

GPL (>= 2)

Issues

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0

Stars

2

Forks

1

Maintainer

Jarrod Hadfield

Last Published

May 6th, 2024

Functions in MCMCglmm (2.36)

Ptensor

Tensor of Sample (Mixed) Central Moments
kunif

Central Moments of a Uniform Distribution
gelman.prior

Prior Covariance Matrix for Fixed Effects.
evalDtensor

Evaluates a list of (mixed) partial derivatives
mult.memb

Design Matrices for Multiple Membership Models
list2bdiag

Forms the direct sum from a list of matrices
me

Design Matrix for Measurement Error Model
path

Design Matrix for Path Analyses
posterior.mode

Estimates the marginal parameter modes using kernel density estimation
pkk

Probability that all multinomial categories have a non-zero count.
at.set

Incidence Matrix of Combined Levels within a Factor
posterior.evals

Posterior distribution of eigenvalues
posterior.inverse

Posterior distribution of matrix inverse
predict.MCMCglmm

Predict method for GLMMs fitted with MCMCglmm
rbv

Random Generation of MVN Breeding Values and Phylogenetic Effects
simulate.MCMCglmm

Simulate method for GLMMs fitted with MCMCglmm
krzanowski.test

Krzanowski's Comparison of Subspaces
residuals.MCMCglmm

Residuals form a GLMM fitted with MCMCglmm
rIW

Random Generation from the Conditional Inverse Wishart Distribution
inverseA

Inverse Relatedness Matrix and Phylogenetic Covariance Matrix
sir

Design Matrix for Simultaneous and Recursive Relationships between Responses
prunePed

Pedigree pruning
knorm

(Mixed) Central Moments of a Multivariate Normal Distribution
summary.MCMCglmm

Summarising GLMM Fits from MCMCglmm
plot.MCMCglmm

Plots MCMC chains from MCMCglmm using plot.mcmc
rtcmvnorm

Random Generation from a Truncated Conditional Normal Distribution
rtnorm

Random Generation from a Truncated Normal Distribution
plotsubspace

Plots covariance matrices
posterior.ante

Posterior distribution of ante-dependence parameters
posterior.cor

Transforms posterior distribution of covariances into correlations
sm2asreml

Converts sparseMatrix to asreml's giv format
spl

Orthogonal Spline Design Matrix
KPPM

Kronecker Product Permutation Matrix
Dexpressions

List of unevaluated expressions for (mixed) partial derivatives of fitness with respect to linear predictors.
MCMCglmm-package

Multivariate Generalised Linear Mixed Models
PlodiaR

Resistance of Indian meal moth caterpillars to the granulosis virus PiGV.
PlodiaPO

Phenoloxidase measures on caterpillars of the Indian meal moth.
BTped

Blue Tit Pedigree
BTdata

Blue Tit Data for a Quantitative Genetic Experiment
MCMCglmm

Multivariate Generalised Linear Mixed Models
Dtensor

Tensor of (mixed) partial derivatives
buildV

Forms expected (co)variances for GLMMs fitted with MCMCglmm
Ddivergence

d-divergence
commutation

Commutation Matrix
dcmvnorm

Density of a (conditional) multivariate normal variate
SShorns

Horn type and genders of Soay Sheep
at.level

Incidence Matrix of Levels within a Factor
Tri2M

Lower/Upper Triangle Elements of a Matrix
PlodiaRB

Resistance (as a binary trait) of Indian meal moth caterpillars to the granulosis virus PiGV.