.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 |