This is the first full release of healthcare.ai for R. Note that This release encompasses basic healthcare ML functionality: Model comparison between random forest, lasso, and mixed model algorithms Feature selection via lasso and random forest feature importance Model deployment to SQL Server, providing top-three most important features Imputation (column mean for numeric and column mode for categorical) Hyperparameter tuning using mtry and number of trees for random forest ROC and PR Curves plotted Model performance evaluated via AU_ROC and AU_PR To assist, these functions are available: groupedLOCF (for longitudinal imputation) findTrends (for Nelson rule 3) convertDateTimeColToDummies to create data-based features from datetime stamp calculateAllCorrelations for correlations across all numeric cols in data frame calculateTargetedCorrelations for correlations across numeric cols and specific column For this release the following infrastructure: is in place: AppveyorCI Roxygen2 mkdocs for website (which files reside in documentation repo)