Self-Validated Ensemble Models with Lasso and Relaxed-Elastic
Net Regression
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘SVEMnet’ version 2.1.3
Help Pages
| SVEMnet-package | SVEMnet: Self-Validated Ensemble Models with Relaxed Lasso and Elastic-Net Regression |
| coef.svem_model | Coefficient Nonzero Percentages from an SVEM Model |
| glmnet_with_cv | Fit a glmnet Model with Cross-Validation |
| plot.svem_model | Plot Method for SVEM Models |
| plot.svem_significance_test | Plot SVEM Significance Test Results for Multiple Responses |
| plot_svem_significance_tests | Plot SVEM Significance Test Results for Multiple Responses |
| predict.svem_cv | Predict for svem_cv objects (and convenience wrapper) |
| predict.svem_model | Predict Method for SVEM Models |
| predict_cv | Predict for svem_cv objects (and convenience wrapper) |
| print.svem_significance_test | Print Method for SVEM Significance Test |
| SVEMnet | Fit an SVEMnet Model (with optional relaxed elastic net) |
| svem_random_table_from_model | Generate a Random Prediction Table from a Fitted SVEMnet Model (no refit) |
| svem_significance_test | SVEM Significance Test with Mixture Support |
| svem_significance_test_parallel | SVEM Significance Test with Mixture Support (Parallel Version) |