Regression Data Analysis System
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Documentation for package ‘regressoR’ version 2.0.1
Help Pages
| app_server | The application server-side |
| as_string_c | as_string_c |
| boosting_importance_plot | boosting_importance_plot |
| boosting_model | boosting_model |
| boosting_prediction | boosting_prediction |
| calibrate_boosting | calibrate_boosting |
| coef_lambda | coef_lambda |
| datos.disyuntivos | Create disjunctive columns to a data.frame. |
| dfnormal | Data.frame with normal test |
| disp_models | disp_models |
| dt_model | dt_model |
| dt_plot | dt_plot |
| dt_prediction | dt_prediction |
| exe | exe |
| extract_code | extract_code |
| e_coeff_landa | e_coeff_landa |
| e_cor | Correlation plot |
| e_histboxplot | Histogram + boxplot |
| e_histnormal | Normal plot |
| e_JS | Eval character vectors to JS code |
| e_posib_lambda | e_posib_lambda |
| e_qq | Qplot + Qline |
| general_indices | general_indices |
| importance_plot_rf | importance_plot_rf |
| kkn_model | kkn_model |
| kkn_prediction | kkn_prediction |
| nn_model | nn_model |
| nn_plot | nn_plot |
| nn_prediction | nn_prediction |
| pairs_power | pairs_power |
| plot_pred_rd | plot_pred_rd |
| plot_real_prediction | plot_real_prediction |
| plot_RMSE | plot_RMSE |
| plot_var_pred_rd | plot_var_pred_rd |
| rd_model | rd_model |
| rd_prediction | rd_prediction |
| rd_type | rd_type |
| rf_model | rf_model |
| rf_prediction | rf_prediction |
| rlr_model | rlr_model |
| rlr_prediction | rlr_prediction |
| rlr_type | rlr_type |
| rl_coeff | rl_coeff |
| rl_model | rl_model |
| rl_prediction | rl_prediction |
| run_app | Run the Shiny Application |
| summary_indices | summary_indices |
| svm_model | svm_model |
| svm_prediction | svm_prediction |
| translate | translate |