Man pages for jmleach-bst/ssnet
Fit Spike-and-Slab Elastic Net GLM With Spatial Priors on Parameters
| autoscale | Calculate scale for prior slab scales. |
| compare_ssnet | Fit Several Models and Compare |
| cv.bh3 | Cross Validation for Bayesian Models or Elastic Net |
| cv_ssnet | Cross Validation for ssnet Models |
| eval_classify | Extract True/False Positive/Negative Measures After... |
| format_iar | Format IAR data for ssnet |
| generate.foldid | Generate Folds for K-Fold Cross Validation |
| glmnet_measure | Extract Measures of Model Fit from GLMNET Fit |
| Grouping | Prepare variables for group-based inference. |
| max_q2_iar | Update prior probabilities of model inclusion at each... |
| measure_bh_raw | Obtain Measures of Model Fitness |
| measure_glm_raw | Evaluating Fitted Models |
| measures_model_fitness | Obtain Measures of Model Fitness |
| measures_multiclass | Obtain Measures of Model Performance for Mutliclass... |
| mungeCARdata4stan | Prepare necessary components of the IAR model for use in... |
| mungeCARdata4stan_irregular | Prepare necessary components of the IAR model for use in... |
| optimal_s0 | Select the Optimal Model from Each Simulation |
| plot_param | Plot Probabilities A Model Keeps Parameters |
| prepare | Prepare the model for analysis. |
| prob_multinomial | Calculate Probabilities from Multinomial Regression |
| smry_ssnet | Extract Simulation Summaries |
| ssnet | Bayesian Spike-and-Slab Elastic Net with Spatial Structure |
| ssnet_fit | Fit the Spike-and-Slab Elastic Net GLM with Intrinsic... |
| ssnet-package | The 'ssnet' package. |
| update_ptheta_group2 | Update conditional expectation of prior probabilities of... |
| update_scale_p | Update conditional expectation of prior probabilities of... |
| update_scale_p_mn | Update conditional expectation of prior probabilities of... |
| validate_ssnet | Train and evaluate models |
