Man pages for Morphonodepredictivemodel/morphonode
The Morphonode Predictive Model for ultrasound signatures detection and malignancy prediction in vulvar cancer
| boot.se | Compute bootstrap standard errors |
| brier | Compute Brier scores |
| buildPredictor | Build a randomForest object |
| check.rfcdata | Check RFC input data |
| dichotomize | Generates a dichotomous ultrasound feature data.frame |
| euclidean | Euclidean distance |
| imp.missing | Impute missing values |
| jaccard | Jaccard similarity |
| loss | Loss function |
| mpm.levels | Ultrasound features levels |
| mpm.rbm | Morphonode default Robust Binomial Model (RBM) endemble |
| mpm.rfc | Morphonode default Random Forest Classifier (RFC) endemble |
| mpm.us | Morphonode simulated ultrasound feature dataset |
| new.profile | Create a new ultrasound profile |
| p.boot | Bootstrap confidence interfals of classifier performances |
| performance | Predictor performance calculation |
| ranksim | Rank ultrasound profiles by similarity |
| rfc | Build a random forest classifier |
| rfc.predict | Random Forest Classifier-based prediction |
| set.missing | Cope with possible missing data in the ultrasound profile |
| set.rbmdata | Ultrasound profile preparation for metastatic risk estimation |
| set.rfcdata | Ultrasound profile preparation for random forest... |
| show.mpmenv | Morphonode ultrasound variables description |
| similarity | Compute different similarity coefficients |
| topsim | Similarity search |
| us.predict | Morhonode Predictive Model (MPM) launcher |
| uss | Ultrasound signatures (uss) detection |
| us.simulate | Ultrasound profile simulation |
| vpart | Data partitioning utility |
