School of Population Health
Features
SPAN has several features:
- complexity penalised search partition analysis - searches for optimal (Boolean) prediction and decision rules
- graphics for exploratory data analysis - bar charts, empirical density estimation, survival plots, scatter diagrams
- selection of optimal cut-points
- ROC and QROC plots
- criteria for partition effectiveness (mean square error, entropy, quality indices, log-rank, chi-square, Gini index)
- simple classification and regression decision trees, allowing Boolean splits
- fitting and displaying scaled rectangle diagrams and mosaic plots
- incidence rate statistics for survival data and Kaplan-Meier survival
- cross tabulation statistics
- by-group analysis (allows overlapping groups)
- allows Cross-validation
- handles missing data
- randomisation tests for statistical significance.
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