A convenient framework for aggregating and disaggregating continuously
    varying parameters (for example, case fatality ratio, with age) for proper
    parametrization of lower-resolution compartmental models (for example, with
    broad age categories) and subsequent upscaling of model outputs to high resolution
    (for example, as needed when calculating age-sensitive measures like years-life-lost).

NOTE: 'PARAMLINK' HAS BEEN SUPERSEDED BY THE 'PEDSUITE'
    PACKAGES (<https://magnusdv.github.io/pedsuite/>). 'PARAMLINK' IS
    MAINTAINED ONLY FOR LEGACY PURPOSES AND SHOULD NOT BE USED IN NEW
    PROJECTS. A suite of tools for analysing pedigrees with marker data,
    including parametric linkage analysis, forensic computations,
    relatedness analysis and marker simulations. The core of the package
    is an implementation of the Elston-Stewart algorithm for pedigree
    likelihoods, extended to allow mutations as well as complex
    inbreeding. Features for linkage analysis include singlepoint LOD
    scores, power analysis, and multipoint analysis (the latter through a
    wrapper to the 'MERLIN' software). Forensic applications include
    exclusion probabilities, genotype distributions and conditional
    simulations. Data from the 'Familias' software can be imported and
    analysed in 'paramlink'. Finally, 'paramlink' offers many utility
    functions for creating, manipulating and plotting pedigrees with or
    without marker data (the actual plotting is done by the 'kinship2'
    package).

Parametric linkage analysis of monogenic traits in medical
    pedigrees. Features include singlepoint analysis, multipoint analysis
    via 'MERLIN' (Abecasis et al. (2002) <doi:10.1038/ng786>),
    visualisation of log of the odds (LOD) scores and summaries of linkage
    peaks. Disease models may be specified to accommodate phenocopies,
    reduced penetrance and liability classes. 'paramlink2' is part of the
    'pedsuite' package ecosystem, presented in 'Pedigree Analysis in R'
    (Vigeland, 2021, ISBN:9780128244302).