healthcareai-r v0.1.10

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)