Provides functions to estimate, predict and interpolate areal
        data. For estimation and prediction we assume areal data is an average
        of an underlying continuous spatial process as in Moraga et
        al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020)
        <doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020)
        <doi:10.1093/biostatistics/kxy041>. The interpolation methodology is
        (mostly) based on Goodchild and Lam (1980, ISSN:01652273).

Trial sequential analysis emerges as an important method in data synthesis realm. It is necessary to integrate pooling methods and sequential analysis coherently, as discussed in the Chapter by Thomas, J., Askie, L.M., Berlin, J.A., Elliott, J.H., Ghersi, D., Simmonds, M., Takwoingi, Y., Tierney, J.F. and Higgins, J.P. (2019). "Prospective approaches to accumulating evidence". In Cochrane Handbook for Systematic Reviews of Interventions (eds J.P.T. Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M.J. Page and V.A. Welch). <doi:10.1002/9781119536604.ch22>.

This tiny package contains one function smirnov() which
        calculates two scaled taxonomic coefficients, Txy (coefficient
        of similarity) and Txx (coefficient of originality). These two
        characteristics may be used for the analysis of similarities
        between any number of taxonomic groups, and also for assessing
        uniqueness of giving taxon. It is possible to use smirnov()
        output as a distance measure: convert it to distance by
        "as.dist(1 - smirnov(x))".

Constructs a yield curve by the Smith-Wilson method from a table of
              libor and swap rates. Now updated to take bond coupons and prices 
              in the same table.

Statistical Methods for Inferring Transmissions of Infectious Diseases from deep sequencing data (SMITID).
  It allow sequence-space-time host and viral population data storage, indexation and querying.

Visualisation tools for 'SMITIDstruct' package.
  Allow to visualize host timeline, transmission tree, index diversities
  and variant graph using 'HTMLwidgets'. It mainly using 'D3JS' javascript framework.