This package is considered a duplicate. The official version of this package is found at:https://marjoleinf.r-universe.dev/glmertree

Package: glmertree 0.2-7

Marjolein Fokkema

glmertree: Generalized Linear Mixed Model Trees

Recursive partitioning based on (generalized) linear mixed models (GLMMs) combining lmer()/glmer() from 'lme4' and lmtree()/glmtree() from 'partykit'. The fitting algorithm is described in more detail in Fokkema, Smits, Zeileis, Hothorn & Kelderman (2018; <doi:10.3758/s13428-017-0971-x>). For detecting and modeling subgroups in growth curves with GLMM trees see Fokkema & Zeileis (2024; <doi:10.3758/s13428-024-02389-1>).

Authors:Marjolein Fokkema [aut, cre], Achim Zeileis [aut]

glmertree_0.2-7.tar.gz
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glmertree_0.2-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
glmertree/json (API)

# Install 'glmertree' in R:

install.packages('glmertree', repos = c('https://zeileis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/partykit

Datasets:

DepressionDemo - Artificial depression treatment dataset
GrowthCurveDemo - Artificial dataset for partitioning of linear growth curve models
MHserviceDemo - Artificial mental-health service outcomes dataset

On CRAN:

6.44 score 3 packages 51 scripts 5.0k downloads 3 mentions 5 exports 21 dependencies

Last updated from:861432cfc0. Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	159
source / vignettes	OK	200
linux-release-x86_64	OK	163
macos-release-arm64	OK	94
macos-oldrel-arm64	OK	211
windows-devel	OK	121
windows-release	OK	107
windows-oldrel	OK	114
wasm-release	OK	122

Exports:betamertree cv.glmertree cv.lmertree glmertree lmertree

Dependencies:boot Formula inum lattice libcoin lme4 MASS Matrix minqa mvtnorm nlme nloptr partykit rbibutils Rcpp RcppEigen Rdpack reformulas rlang rpart survival

Fitting Generalized Linear Mixed-Effects Model Trees

Introduction | Fitting a mixed-model tree with constant fits | Detecting treatment-subgroup interactions in clustered data | Detecting subgroups with different growth trajectories | R code for generating artificial motivating dataset

Rendered fromglmertree.Rnwusingutils::Sweave

Last update: 2023-08-14
Started: 2017-05-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Beta Mixed-Effects Regression Trees	as.party.betamertree betamertree logLik.betamertree model.frame.betamertree predict.betamertree print.betamertree ranef.betamertree resid.betamertree residuals.betamertree terms.betamertree VarCorr.betamertree
Obtaining Fixed-Effects Coefficient Estimates of (Generalized) Linear Mixed Model Trees	coef.glmertree coef.lmertree fixef.glmertree fixef.lmertree
Cross Validation of (Generalized) Linear Mixed Model Trees	cv.glmertree cv.lmertree
Artificial depression treatment dataset	DepressionDemo
(Generalized) Linear Mixed Model Trees	as.party.glmertree as.party.lmertree glmertree lmertree logLik.glmertree logLik.lmertree model.frame.glmertree model.frame.lmertree predict.glmertree predict.lmertree print.glmertree print.lmertree ranef.glmertree ranef.lmertree resid.glmertree resid.lmertree residuals.glmertree residuals.lmertree terms.glmertree terms.lmertree VarCorr.glmertree VarCorr.lmertree
Artificial dataset for partitioning of linear growth curve models	GrowthCurveDemo
Artificial mental-health service outcomes dataset	MHserviceDemo
Plotting (Generalized) Linear Mixed Model Trees	plot.glmertree plot.lmertree