Man pages for patr1ckm/mvtboost
Tree Boosting for Multivariate Outcomes
| addalpha | Add alpha |
| colorRampPaletteAlpha | Add alpha and ramps between colors |
| gbm.cverr | Tune gbm via cross-validation to find the best set of... |
| gbm_grid | CV Tune gbm fits over a grid of parameters in parallel |
| influence | Compute variable influence (influence) scores from 'mvtboost'... |
| metb | Boosted decision trees with random effects |
| mvtb | Fitting a Multivariate Tree Boosting Model |
| mvtb.cluster | Clustering the covariance explained or relative influence... |
| mvtb.covex | Estimate the covariance explained matrix |
| mvtb.heat | Clustered heatmap of tables from 'mvtb' |
| mvtb.nonlin | Detect departures from linearity from a multivariate tree... |
| mvtboost-package | Tree Boosting for Multivariate Outcomes |
| mvtb.perspec | Perspective plot for 2 predictors and 1 response. |
| mvtb.ri | Computes the relative influence of each predictor for each... |
| mvtb.uncomp | Uncompress a compressed mvtb output object |
| pcb | boost principal components of outcomes |
| perf.metboost | #' Marginal plots for metboost objects #' #' The fitted... |
| plot.mvtb | Plots the model implied effect of 1 predictor for one outcome |
| predict.metb | Prediction for metb objects |
| predict.mvtb | Predicted values |
| predict.pcb | Predicted values from principal components boosting |
| predict.twostage | Prediction for twostage objects |
| print.gbm.cverr | Print gbm.cverr Object |
| print.mvtb | Simple default printing of the mvtb output object |
| summary.gbm.cverr | Summarizing gbm.cverr Results |
| summary.metb | Reports the relative influence of each predictor in an metb... |
| summary.mvtb | Computes a summary of the multivariate tree boosting model |
| twostage | Two stage lmer boost |
| wellbeing | Psychological well-being |
