Man pages for PiotrTymoszuk/caretExtra
Extra functionality for predictions and quality control of caret models
| analyze_cv | Get CV prediction statistics. |
| analyze_reg | Analyze regression, binary or multi-class fit. |
| augment.caretx | Predictions with explanatory variables. |
| calc_expected_ | Calculate expected normal values for the given variable. |
| calibrate_regression | Calibrate a regression caretx model. |
| calibration.predx | Calibrate predictions and models. |
| caretx | Create a caretx object. |
| classp | Extract class assignment probability from models and... |
| clplots | Receiver operating characteristic plots for outcome classes. |
| clstats | Class detection quality. |
| comp_class_stats | Accuracy, assignment probability, Brier scores and ROC for... |
| components.caretx | Access features and statistics of models and predictions |
| confusion | Confusion matrix for binary and multi-class models and... |
| get_brier | Calculate Brier score and weighted class probability average. |
| get_ci | Calculate mean with 95% confidence interval |
| get_concordance | Calculate Harrell's C index. |
| get_qc_plots | Diagnostic plots of model residuals for predx objects. |
| get_qc_tbl | Extended residuals of a predx object. |
| get_resids | Calculate residuals, variance, errors and correlation of the... |
| get_resids_binary | Binary classifier residuals, variance and errors. |
| get_roc | Receiver-operating characteristic. |
| ngroups.predx | Numbers of observation in the actual and predicted classes. |
| nobs.caretx | Number of complete observations in a model or prediction. |
| plot_class_p | Squared distance to outcome and class assignment probability... |
| plot_class_roc | Receiver operating characteristic plots for outcome classes. |
| plot_confusion | Plot confusion matrix for a classification predx object. |
| plot_performance | Plots of performance metrics in the training, resample and... |
| plot.predx | Draw diagnostic plots and plots for predictions. |
| plot_regression | Plot fitted values versus outcome for regression objects. |
| plot_roc | Plot a receiver-operator characteristic curve. |
| point_plot_ | Generate a customized scatter plot. |
| predict.caretx | Predict the outcome for a caretx model. |
| predict_class_train | Predict train data outcome. |
| predx | Create a predx object. |
| print.predx | Print a predx object. |
| residuals.caretx | Calculate model or prediction residuals. |
| split.caretx | Split predictions by an explanatory factor. |
| squared | Square distances from the outcome. |
| summary.predx | Fit statistic summary . |
