The goal of statcodelists is to promote the reuse and exchange of statistical 
    information and related metadata with making the internationally standardized SDMX code 
    lists available for the R user. SDMX has been published as an ISO International Standard 
    (ISO 17369). The metadata definitions, including the codelists are updated regularly 
    according to the standard. The authoritative version of the code lists made available in this
    package is <https://sdmx.org/?page_id=3215/>.

An implementation of local and global statistical complexity measures (aka Information Theory Quantifiers, ITQ) for time series analysis based on ordinal statistics (Bandt and Pompe (2002) <DOI:10.1103/PhysRevLett.88.174102>). Several distance measures that operate on ordinal pattern distributions, auxiliary functions for ordinal pattern analysis, and generating functions for stochastic and deterministic-chaotic processes for ITQ testing are provided.

Provides fitting functions and other tools for decision confidence 
    and metacognition researchers, including meta-d'/d', often considered to be 
    the gold standard to measure metacognitive efficiency.
    Also allows to fit several static models of decision making and confidence 
    to test the assumptions underlying meta-d'/d' and which may serve as an 
    alternative when the assumptions of meta-d'/d' do not hold. See also Rausch 
    et al. (2023) <doi:10.1037/met0000634>.

Statistical analysis methods for environmental data are implemented. There is a particular focus on robust methods, and on methods for compositional data. In addition, larger data sets from geochemistry are provided. The statistical methods are described in Reimann, Filzmoser, Garrett, Dutter (2008, ISBN:978-0-470-98581-6).

Support for reading and writing files in StatDataML---an XML-based data exchange format.

The 'cartogram' heatmaps generated by the included methods 
    are an alternative to choropleth maps for the United States
    and are based on work by the Washington Post graphics department in their report
    on "The states most threatened by trade" 
    (<http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/>).
    "State bins" preserve as much of the geographic placement of the states as 
    possible but have the look and feel of a traditional heatmap. Functions are 
    provided that allow for use of a binned, discrete scale, a continuous scale 
    or manually specified colors depending on what is needed for the underlying data.