Man pages for stephenslab/VEB.Boost
This package provides the functionality to perform VEB-Boosting.
| calc_KL_RE | Computes KL divergence for RE |
| calc_KL_Ridge | Computes KL divergence for Ridge |
| calc_KL_Ridge_no_int | Computes KL divergence for Ridge |
| calc_KL_Ridge_no_scale | Computes KL divergence for Ridge |
| compute_MXt | Computes M%*%t(standardized.X) using sparse multiplication... |
| compute_tfg_Xb | Compute unscaled X %*% b using the special structure of trend... |
| compute_tfg_Xty | Compute t(X) %*% y using the special structure of trend... |
| compute_Xb | Computes standardized.X %*% b |
| compute_Xb_par | Computes standardized.X %*% b |
| compute_Xty | Computes t(standardized.X)%*%y using sparse multiplication... |
| compute_Xty_par | Computes t(standardized.X)%*%y using sparse multiplication... |
| fit_random_effect | RE fit function |
| fit_ridge | Ridge fit function |
| fit_ridge_no_int | Ridge fit function |
| fit_ridge_no_scale | Ridge fit function |
| initialize_veb_boost_tree | Initialize VEB-Boost Tree structure |
| makeMrAshLearner | Create a mr.ash learner object |
| makeRandomEffectLearner | Create a random effect learner object |
| makeRidgeLearner | Create a Ridge learner object |
| makeRidgeLearner_no_int | Create a Ridge learner object |
| makeRidgeLearner_no_scale | Create a Ridge learner object |
| make_tfg_matrix | set up a general trend filtering matrix |
| neg_log_lik_RE_logscale | negative log-likelihood for variance of random effect (call... |
| neg_log_lik_Ridge_logscale | negative log-likelihood for variance of ridge (call it V), on... |
| neg_log_lik_Ridge_logscale_no_int | negative log-likelihood for variance of ridge (call it V), on... |
| neg_log_lik_Ridge_logscale_no_scale | negative log-likelihood for variance of ridge (call it V), on... |
| predict_veb_boost | Performs a prediction using a 'veb_boost' fit and supplied... |
| predict_veb_boost_stumps | Performs a prediction using a 'veb_boost_stumps' fit and... |
| split_vector | splits a vector into a list of vectors, each containing a... |
| stumpsVariableImportance | Calculates variable importance measure from a... |
| veb_boost | Performs VEB-Boosting |
| veb_boost_stumps | Wrapper for using VEB-Boost with the SER prior w/ stumps... |
