R: Stratified and Personalised Models Based on Model-Based Trees and Forests

# Stratified and Personalised Models Based on Model-Based Trees and Forests

## Documentation for package ‘model4you’ version 0.9-9

- DESCRIPTION file
- Package NEWS

## Help Pages

.add_modelinfo | Add model information to a personalised-model-ctree
.modelfit | Fit function when model object is given
.prepare_args | Prepare input for ctree/cforest from input of pmtree/pmforest
binomial_glm_plot | Plot for a given logistic regression model (glm with binomial family) with one binary covariate.
coef.pmtree | Methods for pmtree
coeftable.survreg | Table of coefficients for survreg model
coxph_plot | Survival plot for a given coxph model with one binary covariate.
gettree.pmforest | Compute model-based forest from model.
lm_plot | Density plot for a given lm model with one binary covariate.
logLik.pmodel_identity | Objective function of personalised models
logLik.pmtree | Extract log-Likelihood
node_pmterminal | Panel-Generator for Visualization of pmtrees
objfun | Objective function
objfun.glm | Objective function
objfun.lm | Objective function
objfun.pmodel_identity | Objective function of personalised models
objfun.pmtree | Objective function of a given pmtree
objfun.survreg | Objective function
one_factor | Check if model has only one factor covariate.
plot.heterogeneity_test | Test if personalised models improve upon base model.
pmforest | Compute model-based forest from model.
pmodel | Personalised model
pmtest | Test if personalised models improve upon base model.
pmtree | Compute model-based tree from model.
predict.pmtree | pmtree predictions
print.pmtree | Methods for pmtree
print.summary.pmtree | Methods for pmtree
rss | Residual sum of squares
rss.default | Residual sum of squares
summary.pmtree | Methods for pmtree
survreg_plot | Survival plot for a given survreg model with one binary covariate.
varimp.pmforest | Variable Importance for pmforest