Evaluates the performance of binary classifiers.  Computes
    confusion measures (TP, TN, FP, FN), derived measures (TPR, FDR,
    accuracy, F1, DOR, ..), and area under the curve.  Outputs are well
    suited for nested dataframes.

Contains a set of clustering methods and evaluation metrics to select the best number of the clusters based on clustering stability. Two references describe the methodology: Fahimeh Nezhadmoghadam, and Jose Tamez-Pena (2021)<doi:10.1016/j.compbiomed.2021.104753>, and Fahimeh Nezhadmoghadam, et al.(2021)<doi:10.2174/1567205018666210831145825>.

Tools for road-constrained, least-cost pedestrian evacuation modeling.
    The package provides reusable functions for preparing hazard zones, generating
    road-based evacuation origin points, identifying escape/safety points, creating
    slope-based conductance surfaces, calculating least-cost distance to safety,
    and converting distance outputs into evacuation-time polygons. It is designed
    to support workflows like tsunami evacuation modeling while remaining
    adaptable to other regions and hazards. Tsunami-specific helpers support separate
    land-only hazard zones, water-combined escape zones, road-aware escape
    boundaries, and study-area inset cropping for quality assurance and quality
    control. Methods build on Cordero et al. (2025) <doi:10.1007/s44367-025-00018-y>,
    Lewis (2021) <doi:10.1007/s10816-021-09522-w>, and Joseph Lewis's
    'leastcostpath' package (2023) <https://CRAN.R-project.org/package=leastcostpath>.

Provides various statistical methods for evaluating heterogeneous treatment effects (HTE) in randomized experiments. The package includes tools to estimate uniform confidence bands for estimation of the group average treatment effect sorted by generic machine learning algorithms (GATES). It also provides the tools to identify a subgroup of individuals who are likely to benefit from a treatment the most "exceptional responders" or those who are harmed by it. Detailed reference in Imai and Li (2023) <doi:10.48550/arXiv.2310.07973>.