Functions to analyze coarse data.
    Specifically, it contains functions to (1) fit parametric accelerated
    failure time models to interval-censored survival time data, and (2)
    estimate the case-fatality ratio in scenarios with under-reporting.
    This package's development was motivated by applications to infectious
    disease: in particular, problems with estimating the incubation period and
    the case fatality ratio of a given disease.  Sample data files are included
    in the package. See Reich et al. (2009) <doi:10.1002/sim.3659>, 
    Reich et al. (2012) <doi:10.1111/j.1541-0420.2011.01709.x>, and 
    Lessler et al. (2009) <doi:10.1016/S1473-3099(09)70069-6>.

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 (2023) <doi:10.48550/arXiv.2306.04456>,
             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.