Tools for simulating, analysing, and fitting mobility-based
    SEAIR (Susceptible-Exposed-Asymptomatic-Infectious-Recovered)
    compartmental epidemic models with heterogeneous individual
    mobility. Each individual carries a fixed mobility trait that
    scales susceptibility and infectiousness through a rank-one
    kernel, extending the mobility-based compartmental framework of
    Jiang et al. (2025) <doi:10.1137/24M1691557> by adding a latent
    stage and a behavioural split between asymptomatic and symptomatic
    infectiousness. Provides a numerical solver for the underlying
    partial differential equation system, closed-form computation of
    the basic reproduction number R0 and the final epidemic size, and
    a parametric least-squares routine for recovering the mobility
    distribution from an observed aggregate symptomatic time series.

Standard error adjusted adaptive lasso (SEA-lasso) is a version of the adaptive lasso, which incorporates OLS standard error to the L1 penalty weight. This method is intended for variable selection under linear regression settings (n > p). This new weight assignment strategy is especially useful when the collinearity of the design matrix is a concern.

Simulates sea-level rise and fall from raster-based elevation models 
    through functions for relative vertical datum transformation of Digital 
    Terrain Models (DTMs) and integration with bathymetric data to produce 
    continuous terrestrial–marine Digital Elevation Models (DEMs). Supports 
    coastal exposure modeling, paleogeographic reconstruction, submerged landscape 
    analysis, and climate change impact assessment. Optional gap-filling and 
    threshold-based terrain filtering facilitate reconstruction of incomplete 
    elevation surfaces and scenario-based landscape simulation. 
    Applications span coastal engineering, geomorphology, archaeology, 
    environmental modeling, and geospatial analysis.

Provides comprehensive analytics, reporting, and testing capabilities 
    for systematic review search strategies. The package focuses on validating search 
    performance, generating standardized 'PRISMA'-compliant reports, and ensuring 
    reproducibility in evidence synthesis. Features include precision-recall analysis, 
    cross-database performance comparison, benchmark validation against gold standards, 
    sensitivity analysis, temporal coverage assessment, automated report generation,
    and statistical comparison of search strategies. Supports multiple export formats 
    including 'CSV', 'Excel', 'RIS', 'BibTeX', and 'EndNote'. Includes tools for duplicate 
    detection, search strategy optimization, cross-validation frameworks, meta-analysis 
    of benchmark results, power analysis for study design, and reproducibility package 
    creation. Optionally connects to 'PubMed' for direct database searching and real-time 
    strategy comparison using the 'E-utilities' 'API'. Enhanced with bootstrap comparison 
    methods, 'McNemar' test for strategy evaluation, and comprehensive visualization tools 
    for performance assessment. Methods based on Manning et al. (2008) 
    for information retrieval metrics, Moher et al. (2009)
    for 'PRISMA' guidelines, and Sampson et al. (2006) for 
    systematic review search methodology.