[R-sig-ME] Mixed/Hierarchical/Multilevel Modeling packages in R

[Kingsford Jones]

Today's post about the ordinal package inspired a search of the CRAN
packages page for the words 'mixed', 'multilevel', and 'hierarchical',
turning up an impressive list of packages (pasted below).  I'm sure
there are others on and off CRAN (e.g. the ordinal and MASS packages
didn't show up via this search, and of course neither did off-CRAN
packages OpenMx and glmmADMB).  Has anyone put together or seen a more
comprehensive summary, or have additions to the list?  Seems a Task
View would be useful, but unfortunately I can't volunteer at the
moment...

best,
Kingsford Jones

###
Mixed modeling packages found 2010-03-16 on
http://cran.r-project.org/web/packages/
###

amer -- Additive mixed models with lme4

arm -- Data Analysis Using Regression and Multilevel/Hierarchical Models

coxme -- Mixed Effects Cox Models

gamm4 -- Generalized additive mixed models using mgcv and lme4

GLMMarp -- Generalized Linear Multilevel Model with AR(p) Errors Package

glmmAK -- Generalized Linear Mixed Models

glmmBUGS -- Generalised Linear Mixed Models and Spatial Models with BUGS

heavy -- Estimation in the linear mixed model using heavy-tailed distributions

hglm -- hglm is used to fit hierarchical generalized linear models

HGLMMM -- Hierarchical Generalized Linear Models

influence.ME -- Tools for detecting influential data in mixed effects models

kinship -- mixed-effects Cox models, sparse matrices, and modeling
data from large pedigrees

lme4 -- Linear mixed-effects models using S4 classes

lmeSplines -- lmeSplines

lmec -- Linear Mixed-Effects Models with Censored Responses

lmm -- Linear mixed models

longRPart -- Recursive partitioning of longitudinal data using
mixed-effects models

MASS -- Main Package of Venables and Ripley's MASS (see function glmmPQL)

MCMCglmm -- MCMC Generalised Linear Mixed Models

MEMSS -- Data sets from Mixed-effects Models in S

mlmRev -- Examples from Multilevel Modelling Software Review

multilevel -- Multilevel Functions

nlme -- Linear and Nonlinear Mixed Effects Models

nlmeODE -- Non-linear mixed-effects modelling in nlme using
differential equations

npde -- Normalised prediction distribution errors for nonlinear
mixed-effect models

ordinal -- Regression Models for Ordinal Data

PSM -- Non-Linear Mixed-Effects modelling using Stochastic
Differential Equations

pamm -- Power analysis for random effects in mixed models

pedigreemm -- Pedigree-based mixed-effects models

phmm -- Proportional Hazards Mixed-effects Model (PHMM)

RLRsim -- Exact (Restricted) Likelihood Ratio tests for mixed and
additive models

SASmixed -- Data sets from "SAS System for Mixed Models"


###
Off-CRAN mixed modeling packages:
###

glmmADMB -- Mixed models for discrete data in R

OpenMx -- Advanced Structural Equation Modeling