Calculating the fractal dimension of a coastline using the boxes and dividers methods.

Agreement of continuously scaled measurements made by two techniques, devices or methods is usually
             evaluated by the well-established Bland-Altman analysis or plot. Conditional method agreement trees (COAT),
             proposed by Karapetyan, Zeileis, Henriksen, and Hapfelmeier (2025) <doi:10.1093/jrsssc/qlae077>,
             embed the Bland-Altman analysis in the framework of recursive partitioning to explore heterogeneous method
             agreement in dependence of covariates. COAT can also be used to perform a Bland-Altman test for differences
             in method agreement.

Generate balance tables and plots for covariates of groups preprocessed through 
             matching, weighting or subclassification, for example, using propensity scores. Includes 
             integration with 'MatchIt', 'WeightIt', 'MatchThem', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 
             'cem', 'sbw', and 'designmatch' for assessing balance on the output of their preprocessing 
             functions. Users can also specify data for balance assessment not generated through 
             the above packages. Also included are methods for assessing balance in clustered or 
             multiply imputed data sets or data sets with multi-category, continuous, or longitudinal treatments.

Enrichment strategies play a critical role in modern clinical trial design, especially as precision medicine advances the focus on patient-specific efficacy. Recent developments in enrichment design have introduced biomarker randomness and accounted for the correlation structure between treatment effect and biomarker, resulting in a two-stage threshold enrichment design. We propose novel two-stage enrichment designs capable of handling two or more continuous biomarkers.
    See Zhang, F. and Gou, J. (2025). Using multiple biomarkers for patient enrichment in two-stage clinical designs. Technical Report.