Package: glmertree 0.2-5
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>).
Authors:
glmertree_0.2-5.tar.gz
glmertree_0.2-5.zip(r-4.5)glmertree_0.2-5.zip(r-4.4)glmertree_0.2-5.zip(r-4.3)
glmertree_0.2-5.tgz(r-4.4-any)glmertree_0.2-5.tgz(r-4.3-any)
glmertree_0.2-5.tar.gz(r-4.5-noble)glmertree_0.2-5.tar.gz(r-4.4-noble)
glmertree_0.2-5.tgz(r-4.4-emscripten)glmertree_0.2-5.tgz(r-4.3-emscripten)
glmertree.pdf |glmertree.html✨
glmertree/json (API)
NEWS
| # 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
- DepressionDemo - Artificial depression treatment dataset
- GrowthCurveDemo - Artificial dataset for partitioning of linear growth curve models
- MHserviceDemo - Artificial mental-health service outcomes dataset
Last updated 1 months agofrom:4309c9bb28. Checks:OK: 6 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 16 2024 |
| R-4.5-win | OK | Sep 16 2024 |
| R-4.5-linux | NOTE | Sep 16 2024 |
| R-4.4-win | OK | Sep 16 2024 |
| R-4.4-mac | OK | Sep 16 2024 |
| R-4.3-win | OK | Sep 16 2024 |
| R-4.3-mac | OK | Sep 16 2024 |
Exports:betamertreecv.glmertreecv.lmertreeglmertreelmertree
Dependencies:bootFormulainumlatticelibcoinlme4MASSMatrixminqamvtnormnlmenloptrpartykitRcppRcppEigenrpartsurvival
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 |