Market Structure, Concentration and Inequality Measures
person(given = "Andreas",
family = "Schneider",
role = c("aut", "cre"),
email = "schneiderconsultingpy@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0001-5630-1097"))
Based on individual market shares of all participants in a
market or space or their respective sales figures, 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".
rmarkdown, knitr, devtools, kableExtra, ggplot2, testthat (>=
3.0.0), covr
Andreas Schneider [aut, cre] (<https://orcid.org/0000-0001-5630-1097>)

Computes and Plots Confidence (Consonance) Intervals, P-Values,
and S-Values to Form Consonance Curves (Functions)
c(
person("Zad", "Chow", , "zad@lesslikely.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-1545-8199")
),
person("Andrew", "Vigotsky", role = "aut",
comment = c(ORCID = "0000-0003-3166-0688")
)
)
Allows one to compute confidence (compatibility/consonance) intervals for various statistical tests along with their corresponding P-values and S-values. The intervals can be plotted to create consonance functions allowing one to see what effect sizes are compatible with the test model at various compatibility levels rather than being limited to one interval estimate such as 95%. These methods are discussed by Poole C. (1987) <doi:10.2105/AJPH.77.2.195>, Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>, Singh K, Xie M, Strawderman WE. (2007) <arXiv:0708.0976>, Rothman KJ, Greenland S, Lash TL. (2012, ISBN:9781451190052), and Amrhein V, Trafimow D, Greenland S. (2018) <doi:10.7287/peerj.preprints.26857v4>.