Routines and tools for assessing the quality of content
    analysis on the basis of the Iota Reliability Concept. The concept is
    inspired by item response theory and can be applied to any kind of
    content analysis which uses a standardized coding scheme and discrete
    categories.  It is also applicable for content analysis conducted by
    artificial intelligence.  The package provides reliability measures
    for a complete scale as well as for every single category. Analysis of
    subgroup-invariance and error corrections are implemented. This
    information can support the development process of a coding scheme and
    allows a detailed inspection of the quality of the generated data.
    Equations and formulas working in this package are part of Berding et
    al. (2022)<doi:10.3389/feduc.2022.818365> and Berding and Pargmann
    (2022) <doi:10.30819/5581>.

Basic I/O tools for streaming and data parsing.

Enables the user to find the country, region, district, city, coordinates, zip code, time zone, ISP, domain name, connection type, area code, weather, Mobile Country Code, Mobile Network Code, mobile brand name, elevation, usage type, address type, IAB category and Autonomous system information that any IP address or hostname originates from. Supported IPv4 and IPv6.
        Please visit <https://www.ip2location.com> to learn more. You may also want to visit <https://lite.ip2location.com> for free database download.
        This package requires 'IP2Location Python' module. At the terminal, please run 'pip install IP2Location' to install the module.

A system for submitting multiple IP information queries to 'IP2Location.io'’s IP Geolocation API and storing the resulting data in a dataframe. You provide a vector of IP addresses and your 'IP2Location.io' API key. The package returns a dataframe with one row per IP address and a column for each available data field (data fields not included in your API plan will contain NAs). This is the second submission of the package to CRAN.