Man pages for SelectBoost
A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets
| AICc_BIC_glmnetB | AICc and BIC for glmnet logistic models |
| auto.analyze | Find limits for selectboost analysis |
| autoboost | Autoboost |
| autoboost.res.x | Autoboost lasso diabetes first order. |
| autoboost.res.x2 | Autoboost lasso diabetes second order. |
| autoboost.res.x2.adapt | Autoboost adaptative lasso diabetes second order. |
| autoboost.res.x.adapt | Autoboost adaptative lasso diabetes first order. |
| boost | Boost step by step functions |
| Cascade_confidence | Confidence indices |
| Cascade_example | Simulated Cascade network and inference |
| fastboost | Fastboost |
| fastboost.res.x | Fastboost lasso diabetes first order. |
| fastboost.res.x2 | Fastboost lasso diabetes second order. |
| fastboost.res.x2.adapt | Fastboost adaptative lasso diabetes second order. |
| fastboost.res.x.adapt | Fastboost adaptative lasso diabetes first order. |
| force.non.inc | Non increasing post processinng step for selectboost analysis |
| group_func_1 | Generate groups by thresholding. |
| group_func_2 | Generate groups using community analysis. |
| miscplot | Miscellaneous plot functions |
| network.confidence-class | Network confidence class. |
| plot.selectboost | Plot selectboost object |
| plot_selectboost_cascade | plot_Selectboost_cascade |
| plot.summary.selectboost | Plot a summary of selectboost results |
| reverse | Simulations for reverse-engineering |
| SelectBoost | SelectBoost |
| selectboost_cascade | Selectboost_cascade |
| simulation | Miscellaneous simulation functions |
| summary.selectboost | Summarize a selectboost analysis |
| trajC0 | Plot trajectories |
| var_select | Variable selection functions |
| var_select_all | Variable selection functions (all) |
