Calculates metrics of proportionality using the logit-normal multinomial model.  It can also provide empirical and plugin estimates of these metrics.

Flexible univariate count models based on renewal processes. The
    models may include covariates and can be specified with familiar formula
    syntax as in glm() and package 'flexsurv'.  The methodology is described by
    Kharrat et all (2019) <doi:10.18637/jss.v090.i13> (included as vignette
    'Countr_guide' in the package).

Wrangle country data more effectively and quickly. 
    This package contains functions to easily identify and convert country names,
    download country information, merge country data from different sources, 
    and make quick world maps.

A complete toolkit for getting country data onto honest maps.
    Country names rarely line up across data sources ("US", "U.S.",
    "United States", "United States of America" are one country, but a
    naive join treats them as four), so 'countryatlas' makes ISO codes the
    universal join key. It generalises a one-call, map-ready table that
    stitches together 'ggplot2' map geometry, 'WDI' World Bank indicators
    and the 'countrycode' Rosetta stone; exposes the join machinery for the
    user's own data; ships curated reference data (metadata, group
    memberships, an indicator catalogue, flags and currencies); adds
    analysis helpers (per-capita, regional roll-ups, ranking); and turns one
    hand-drawn choropleth into a full vocabulary of projected, area-honest
    maps (binned and quantile choropleths, proportional-symbol, bivariate,
    cartogram, tile-grid, flow, animated and interactive). Heavy spatial
    dependencies stay optional, and a bundled offline snapshot lets every
    example, test and vignette run without the network.

Standardize country names, convert them into one of 40
    different coding schemes, convert between coding schemes, and assign
    region descriptors.

Modeling under- and over-dispersed count data using extended Poisson process models as in the article Faddy and Smith (2011) <doi:10.18637/jss.v069.i06> .