Functions to search, retrieve, apply and update classification 
  standards and code lists using Statistics Norway's API 
  <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications 
  by date with options to choose language, hierarchical level and formatting.

A set of functions designed to quickly generate results of a multiple choice
          test. Generates detailed global results, lists for anonymous feedback and
          personalised result feedback (in LaTeX and/or PDF format), as well as item
          statistics like Cronbach's alpha or disciminatory power. 'klausuR' also
          includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for
          its basic features. The respective R package 'rkward' cannot be installed
          directly from a repository, as it is a part of RKWard. To make full use of this
          feature, please install RKWard from <https://rkward.kde.org> (plugins are
          detected automatically). Due to some restrictions on CRAN, the full package
          sources are only available from the project homepage.

Estimation algorithms for Kullback-Leibler divergence between two probability
    distributions, based on one or two samples, and including uncertainty quantification.
    Distributions can be uni- or multivariate and continuous, discrete or mixed.

Most importantly, calculates Kullback-Leibler Divergence (KLD), Turing's perspective estimator
 and their confidence intervals.

Provides tools for Ranked Set Sampling (RSS) analysis,
    data import, statistical estimation, and comparison with Simple
    Random Sampling (SRS). The package offers a complete workflow from
    'Excel' and CSV data import and cleaning to RSS implementation,
    efficiency evaluation, visualization, and automated reporting.
    Intelligent ranking procedures based on correlation analysis,
    regression models, and machine learning methods are included to
    address imperfect ranking commonly encountered in practical RSS
    applications. Monte Carlo simulation tools are provided for
    evaluating estimator performance under different sampling
    scenarios. Ranked Set Sampling was originally introduced by
    McIntyre (1952) <doi:10.2307/3001960> as an efficient alternative to simple
    random sampling when ranking information is available at low cost. The 
    package supports researchers, statisticians, and practitioners working 
    in agricultural, environmental, biological, and other applied sciences.