Man pages for modEvA
Model Evaluation and Analysis
| applyThreshold | Apply threshold(s) to model predictions |
| arrangePlots | Arrange plots |
| AUC | Area Under the Curve |
| Boyce | Boyce Index |
| confusionLabel | Label predictions according to their confusion matrix... |
| confusionMatrix | Confusion matrix |
| Dsquared | Explained deviance |
| evaluate | Evaluate a model based on the elements of a confusion matrix. |
| evenness | Evenness in a binary vector. |
| getBins | Get bins of continuous values. |
| getModEqn | Get model equation |
| getThreshold | Prediction threshold for a given criterion |
| HLfit | Hosmer-Lemeshow goodness of fit |
| inputMunch | Munch inputs into 'obs' and 'pred' vectors |
| logLike | Log-likelihood |
| lollipop | Lollipop chart |
| MESS | Multivariate Environmental Similarity Surfaces based on a... |
| MillerCalib | Miller's calibration satistics for logistic regression models |
| mod2obspred | Extract observed and predicted values from a model object. |
| modEvAmethods | Methods implemented in modEvA functions |
| modEvA-package | Model Evaluation and Analysis |
| multModEv | Multiple model evaluation |
| OA | Overlap Analysis |
| optiPair | Optimize the classification threshold for a pair of related... |
| optiThresh | Optimize threshold for model evaluation. |
| plotGLM | Plot a generalized linear model |
| predDensity | Plot the density of predicted values for presences and... |
| predPlot | Plot predicted values for presences and absences, optionally... |
| prevalence | Prevalence |
| ptsrast2obspred | Observed and predicted values from presence points and a... |
| quantReclass | Reclassify continuous values based on quantiles |
| range01 | Shrink or stretch a vector to make it range between 0 and 1 |
| RMSE | Root mean square error |
| rotif.mods | Rotifer distribution models |
| RsqGLM | R-squared measures for GLMs |
| similarity | Similarity measures |
| standard01 | Standardize to 0-1 (or vice-versa) |
| threshMeasures | Threshold-based measures of model evaluation |
| varImp | Variable importance. |
| varPart | Variation partitioning |
