Functions for performing spatial microsimulation ('raking')
    in R.

The goal of 'ralger' is to facilitate web scraping in R.

Download, prepare and analyze data from large-scale assessments and
    surveys with complex sampling and assessment design (see 'Rutkowski',
    2010 <doi:10.3102/0013189X10363170>). Such studies are, for example,
    international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical
    interface is available for the non-technical user.The package includes
    functions to covert the original data from 'SPSS' into 'R' data sets
    keeping the user-defined missing values, merge data from different
    respondents and/or countries, generate variable dictionaries, modify
    data, produce descriptive statistics (percentages, means, percentiles,
    benchmarks) and multivariate statistics (correlations, linear
    regression, binary logistic regression). The number of supported
    studies and analysis types increases with every next release.
    For a general presentation of the package, see 'Mirazchiyski', 2021a
    (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of
    the package, see 'Mirazchiyski', 2021b (<doi:10.3390/psych3020018>).

Parser generator for R using combinatory parsers. It
    is inspired by combinatory parsers developed in Haskell.

Provides an R interface for using 'AmCharts' Library. Based on
    'htmlwidgets', it provides a global architecture to generate 'JavaScript' source
    code for charts. Most of classes in the library have their equivalent in R
    with S4 classes; for those classes, not all properties have been referenced but
    can easily be added in the constructors. Complex properties (e.g. 'JavaScript'
    object) can be passed as named list. See examples at 
    <https://datastorm-open.github.io/introduction_ramcharts/> 
    and <https://www.amcharts.com/> for
    more information about the library. The package includes the free version
    of 'AmCharts' Library. Its only limitation is a small link to the web site
    displayed on your charts. If you enjoy this library, do not hesitate to refer
    to this page <https://www.amcharts.com/online-store/> to purchase a licence,
    and thus support its creators and get a period of Priority Support. See also
    <https://www.amcharts.com/about/> for more information about 'AmCharts' company.