Man pages for Stan125/vibe
Variable Importance Beyond Linear Models
| acc | Unique combinations of variables |
| args_supported | Is this combination of class/gof/varimp supported by vibe? |
| class_finder | Class finder |
| det_npar | Number of modeled parameters determiner |
| fit_and_gof | Fit all possible submodels and obtain goodnesses of fit |
| fit_null_model | Null model fitter |
| is_gof_supported | Supported gof checker |
| is_this_class_supported | Supported class checker |
| is_varimp_supported | Supported varimp checker |
| make_vibe | Coerce results from algorithms into vibes object |
| mids | Obtain model ids given a number of covariates |
| n_combs | Internal function: Calculate number of combinations |
| obtain_gof | Obtain goodness-of-fit figure from regression model object |
| obtain_gof_r2e | Obtain goodness of fit figure for Estrella's Pseudo R2 |
| obtain_gof_r2_mcfadden | Obtain goodness of fit figure for McFadden's Pseudo R2 |
| part | Step Four: Do hierarchical partitioning |
| part_core | Core function of part(). Does the partitioning. |
| pcapply | Parallel Column Apply |
| perm_cpp | Core partitioning function |
| plot.vibe | Plotting |
| print.vibe | Print function for 'vibe' objects |
| rel_weights | Compute Relative Weights |
| sat | Customer Satisfaction in North Macedonia |
| scam | Supported Classes and Metrics (SCAM) |
| summary.vibe | Summary function for 'vibe' objects |
| vibe | vibe: Variable Importance BEyond linear models |
| vibe.gam | Variable Importance calculation for a 'gam' object |
| vibe.gamlss | Variable Importance calculation for a 'gamlss' object |
| vibe.glm | Variable Importance calculation for a 'glm' object |
| vibe.lm | Variable Importance calculation for an 'lm' object |
| vibe-package | vibe: Variable Importance Beyond Linear Models |
