Provides tools to access, search, and manipulate ILO's ilostat database,
  including bulk download of statistical data, dictionary lookups, and table of contents.

An interface to the powerful and fairly complete computer algebra system 'Maxima'.
    It can be used to start and control 'Maxima' from within R by entering 'Maxima' commands. 
    Results from 'Maxima' can be parsed and evaluated in R. 
    It facilitates outputting results from 'Maxima' in 'LaTeX' and 'MathML'. 
    2D and 3D plots can be displayed directly. 
    This package also registers a 'knitr'-engine enabling 'Maxima' code chunks 
    to be written in 'RMarkdown' documents.

Provides functions to read and write 'ImageJ' (<https://imagej.net>)
    Region of Interest (ROI) files, to plot the ROIs and to convert them to
    'spatstat' (<https://spatstat.org/>) spatial patterns.

A pure R implementation of the median cut algorithm.
    Extracts the dominant colors from an image, and turns them into
    a scale for use in plots or for fun!

The metrics() function calculates measures of scholarly impact. 
    These include conventional measures, such as the number of publications
    and the total citations to all publications, as well as modern and 
    robust metrics based on the vector of citations associated with each 
    publication, such as the h index and many of its variants or rivals.
    These methods are described in Ruscio et al. (2012) 
    <DOI: 10.1080/15366367.2012.711147>.

Tools for manipulating, exploring, and visualising  multiple-response data, including scored or ranked responses. Conversions to and from factors, lists, strings, matrices; reordering, lumping, flattening; set operations; tables; frequency and co-occurrence plots.

A programmatic interface to the API provided by the 'iNaturalist' website <https://www.inaturalist.org/> to download species occurrence data submitted by citizen scientists.

Relative, generalized, and Erreygers corrected concentration index; plot Lorenz curves; and decompose health
    inequalities into contributing factors. The package currently works with (generalized) linear models, survival models, complex survey models, and marginal effects probit models.
    originally forked by Brecht Devleesschauwer from the 'decomp' package  (no longer on CRAN), 'rineq' is now maintained by Kaspar Walter Meili. Compared to the earlier 'rineq' version on 'github' by Brecht Devleesschauwer (<https://github.com/brechtdv/rineq>), the regression tree functionality has been removed.
    Improvements compared to earlier versions include improved plotting of decomposition and concentration, added functionality to calculate the concentration index with different methods, calculation of robust standard errors, and support for the decomposition analysis using marginal effects probit regression models. The development version is available at <https://github.com/kdevkdev/rineq>.