| assembleData | Assemble train and test data for model building with EWStools |
| bowersEWS | Summary of the Accuracy of Early Warning Indicators |
| buildDISFrame | Generate an empty dataframe to match 'modAcc' lists |
| buildModelMatrix | Turn a dataframe into a model matrix for caret functions |
| buildRMSEFrame | Generate an empty dataframe to match 'modAcc' lists |
| buildROCcurveFrame | Generate an empty dataframe to match 'modAcc' lists |
| caretMethods | Extended version of caret model list from caret package |
| caretTags | Matrix of caret models by tag |
| ci_pred | Calculate a confidence interval for a vector |
| cleanArg | An internal function to ensure all parameters passed through... |
| dfExtract | Generate a dataframe from 'modAcc' lists |
| dfExtractDIS | Generate a dataframe from 'modAcc' lists |
| dfExtractRMSE | Generate a dataframe from 'modAcc' lists |
| dfExtractROC | Generate a dataframe from 'modAcc' lists |
| DISit-class | Class "DISit" of distance statistics |
| dissimMethod | Sample caret methods to maximize dissimilarity in the... |
| DIStest | Getting an DIStest on a train object |
| EWStestData | EWS test data |
| factor_norm | Internal function to aide with factors in predicting new data... |
| fourStatsSummary | Calculate distance from perfect prediction on resamples |
| modAcc | Generate a list of 'ROCit' objects or 'RMSEit' for different... |
| modSearch | Generate an empty dataframe to match 'modAcc' lists |
| modSearchResults | Summarize the results of modSearch |
| modTest | Train a model and store 'ROCit' tests on different datasets |
| omitLinearCombos | Omit linear combinations from a predictor matrix |
| print.ROCit | Print a summary of an 'ROCit' object |
| probExtract | Extract probabilities from various types of R models used for... |
| reclassProb | Convert probabilities to classifications |
| RMSEit-class | Class "RMSEit" of RMSE statistics |
| RMSEtest | Generic function to build RMSEtest |
| ROCit-class | Class "ROCit" of ROC classification statistics |
| ROCtest | Generic function to build ROCtest |
| splitData | Split data into a training and a test dataset |
| subscores | Calculate subscores from an overall score in a dataframe |
| summary.ROCit | Extract a summary of an 'ROCit' object |
