Man pages for kristian-bak/kb.modelling
What the Package Does (One Line, Title Case)
| f_accuracy | Accuracy |
| f_change | This function is used to calculate price change in % |
| f_columnise | Columnise data |
| f_data_prep | Preparing data for training xgboost |
| f_get_stock | This function returns company name code for a given ticker... |
| f_get_symbol | This function returns ticker code for a stock |
| f_indicator | This function calculates common indicators such as moving... |
| f_lag | Lag function |
| f_load | This function loads data from Yahoo. |
| f_load_data | Load data |
| f_load_fred | Loading data from Federal Reserve bank (FRED) |
| f_load_one | This function loads one stock from Yahoo. |
| f_ma_slope | This function calculates the slope of a moving average based... |
| f_plot_trade | Plotting the trades |
| f_predict | Predicting from xgboost models |
| f_report | Report from xgboost predictions |
| f_sfa | Single feature analysis |
| f_slope | This function calculates the slope of a moving average |
| f_split_train_test | Train test splitting data |
| f_step | Stepwise xgboost |
| f_target_names | Target names |
| f_ticker | This function returns the ticker for a stock |
| f_trade | Stock trading based on xgboost predictions |
| f_train | Training xgboost models |
| f_try_catch | This function is an extension of tryCatch |
| f_update_data | Update data |
| f_update_symbol | This function update the lists of symbols available from a... |
| f_var_names | Variable names |
| f_weight | Weight function |
| f_weight_observations | Weight observations with exponential decay |
| plot_shap | plot shap |
| plot_shap_summary | Plot shap summary |
| shap_prep | prep shap data |
| shap_score_rank | return matrix of shap score and mean ranked score list |
| std1 | a function to standardize feature values into same range |
| var_importance | Importance plot |
