A set of utilities for matching products in different
	     classification codes used in international trade
	     research. It supports concordance between the Harmonized
	     System (HS0, HS1, HS2, HS3, HS4, HS5, HS combined), the Standard 
	     International Trade Classification (SITC1, SITC2, SITC3, SITC4), 
	     the North American Industry Classification System (NAICS combined),
	     as well as the Broad Economic Categories (BEC), the International 
	     Standard of Industrial Classification (ISIC), and the Standard Industrial 
	     Classification (SIC). It also provides code nomenclature/descriptions 
	     look-up, Rauch classification look-up (via concordance to SITC2), and
	     trade elasticity look-up (via concordance to HS0 or SITC3
	     codes).

The Concordance Test is a non-parametric method for testing whether two o more samples originate from the same distribution. It extends the Kendall Tau correlation coefficient when there are only two groups. For details, see Alcaraz J., Anton-Sanchez L., Monge J.F. (2022) The Concordance Test, an Alternative to Kruskal-Wallis Based on the Kendall-tau Distance: An R Package. The R Journal 14, 26–53 <doi:10.32614/RJ-2022-039>.

Contains the CONCOR (CONvergence of iterated CORrelations) 
    algorithm and a series of supplemental functions for easy running, 
    plotting, and blockmodeling. The CONCOR algorithm is used on social network
    data to identify network positions based off a definition of structural 
    equivalence; see Breiger, Boorman, and Arabie (1975) 
    <doi:10.1016/0022-2496(75)90028-0> and Wasserman and Faust's book Social 
    Network Analysis: Methods and Applications (1994). This version allows 
    multiple relationships for the same set of nodes and uses both incoming and
    outgoing ties to find positions.

Based on individual market shares of all participants in a
    market or space, the package offers a set of different structural and
    concentration measures frequently - and not so frequently - used in research
    and in practice. Measures can be calculated in groups or individually.
    The calculated measure or the resulting vector in table format should help
    practitioners make more informed decisions. Methods used in this package are
    from:
    1.  Chang, E. J., Guerra, S. M., de Souza Penaloza, R. A. & Tabak, B. M.
    (2005) "Banking concentration: the Brazilian case".
    2.  Cobham, A. and A. Summer (2013). "Is It All About the Tails? The
    Palma Measure of Income Inequality".
    3.  Garcia Alba Idunate, P. (1994). "Un Indice de dominancia para el
    analisis de la estructura de los mercados".
    4.  Ginevicius, R. and S. Cirba (2009). "Additive measurement of market
    concentration" <doi:10.3846/1611-1699.2009.10.191-198>.
    5.  Herfindahl, O. C. (1950), "Concentration in the steel industry"
    (PhD thesis).
    6.  Hirschmann, A. O. (1945), "National power and structure of foreign
    trade".
    7.  Melnik, A., O. Shy, and R. Stenbacka (2008), "Assessing market dominance"
    <doi:10.1016/j.jebo.2008.03.010>.
    8.  Palma, J. G. (2006). "Globalizing Inequality: 'Centrifugal' and
    'Centripetal' Forces at Work".
    9.  Shannon, C. E. (1948). "A Mathematical Theory of Communication".
    10.  Simpson, E. H. (1949). "Measurement of Diversity"
    <doi:10.1038/163688a0>.