Package: vcrpart 1.0-6
vcrpart: Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models
Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression. A description of a part of this package was published by Burgin and Ritschard (2017) <doi:10.18637/jss.v080.i06>.
Authors:
vcrpart_1.0-6.tar.gz
vcrpart_1.0-6.tgz(r-4.4-x86_64)vcrpart_1.0-6.tgz(r-4.4-arm64)vcrpart_1.0-6.tgz(r-4.3-x86_64)vcrpart_1.0-6.tgz(r-4.3-arm64)
vcrpart_1.0-6.tar.gz(r-4.5-noble)vcrpart_1.0-6.tar.gz(r-4.4-noble)
vcrpart_1.0-6.tgz(r-4.4-emscripten)vcrpart_1.0-6.tgz(r-4.3-emscripten)
vcrpart.pdf |vcrpart.html✨
vcrpart/json (API)
NEWS
| # Install 'vcrpart' in R: |
| install.packages('vcrpart', repos = c('https://rbuergin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rbuergin/vcrpart/issues
Last updated 2 months agofrom:7853675a61. Checks:OK: 1 NOTE: 5. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 03 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 03 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 03 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 03 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 03 2024 |
Exports:adjacentbaselinececontr.wsumcumulativecvlossextractfefixeffolds_controlfvcglmfvcglm_controlfvcmfvcm_controlfvcolmmfvcolmm_controlgeneglogLik2olmmolmm_contrololmm_estfunolmm_gefpooblossotsplototsplot_controlotsplot_filterpanel_coefpanel_partdeppredecor_controlpruneprunepathranefranefCovresplitpathtvcglmtvcglm_controltvcmtvcm_controltvcolmmtvcolmm_controlVarCorrvc
Dependencies:Formulaformula.toolsinumlatticelibcoinMatrixmvtnormnlmenumDerivoperator.toolspartykitrpartsandwichstrucchangesurvivalucminfzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Contrast matrices | contr.wsum |
| Bagging and Random Forests based on 'tvcm' | fvcglm fvcglm_control fvcm fvcm_control fvcolmm fvcolmm_control |
| Methods for 'fvcm' objects | fitted.fvcm fvcm-methods oobloss.fvcm plot.fvcm predict.fvcm print.fvcm ranef.fvcm |
| Movie critics | movie |
| Fitting ordinal and nominal two-stage linear mixed models | adjacent baseline cumulative family.olmm olmm |
| Control parameters for 'olmm'. | olmm-control olmm_control |
| Methods for score processes of 'olmm' objects | olmm-gefp olmm_estfun olmm_gefp predecor_control |
| Methods for 'olmm' objects | anova.olmm coef.olmm coefficients.olmm deviance.olmm fixef fixef.glm fixef.olmm formula.olmm getCall.olmm logLik.olmm model.frame.olmm model.matrix.olmm neglogLik2 neglogLik2.olmm olmm-methods print.VarCorr.olmm ranef ranef.olmm ranefCov ranefCov.olmm resid.olmm residuals.olmm simulate.olmm terms.olmm update.olmm VarCorr VarCorr.olmm vcov.olmm weights.olmm |
| Predict outcome probabilities and responses for 'olmm' objects | fitted.olmm olmm-predict predict.olmm |
| Printing and summarizing 'olmm' objects | olmm-summary print.olmm print.summary.olmm summary.olmm |
| Time-series plot for longitudinal ordinal data | otsplot otsplot.default otsplot_control otsplot_filter |
| Effect of parental leave policy | PL |
| Poverty in Switzerland | poverty |
| National Institute of Mental Health shizophrenia study | schizo |
| Coefficient-wise tree-based varying coefficient regression based on generalized linear models | tvcglm tvcglm_control |
| Tree-based varying coefficient regression models | tvcm |
| Model selection utility functions for 'tvcm' objects. | cvloss cvloss.tvcm folds_control oobloss oobloss.tvcm plot.cvloss.tvcm prune prune.tvcm prunepath prunepath.tvcm tvcm-assessment |
| Control parameters for 'tvcm'. | tvcm-control tvcm_control |
| Methods for 'tvcm' objects | coef.tvcm coefficients.tvcm depth.tvcm extract extract.tvcm fitted.tvcm formula.tvcm getCall.tvcm logLik.tvcm model.frame.tvcm neglogLik2.tvcm nobs.tvcm predict.tvcm print.tvcm ranef.tvcm resid.tvcm residuals.tvcm splitpath splitpath.tvcm summary.tvcm tvcm-methods weights.tvcm width.tvcm |
| 'plot' method for 'tvcm' objects. | panel_coef panel_partdep plot.tvcm tvcm-plot |
| Tree-based varying coefficient regression based on ordinal and nominal two-stage linear mixed models. | tvcolmm tvcolmm_control |
| Synthetic data sets | unemp vcrpart-demo vcrpart_1 vcrpart_2 vcrpart_3 |
| Special terms for formulas. | ce fe ge re vc vcrpart-formula |
