Calculation of the parametric, nonparametric confidence intervals
 for the difference or ratio of location parameters, nonparametric confidence interval
 for the Behrens-Fisher problem and for the difference, ratio and odds-ratio of binomial
 proportions for comparison of independent samples. Common wrapper functions to split 
 data sets and apply confidence intervals or tests to these subsets.
 A by-statement allows calculation of CI separately for the levels of further factors. 
 CI are not adjusted for multiplicity.

Provides a unified framework for generating, submitting, and 
    analyzing pairwise comparisons of writing quality using large language 
    models (LLMs). The package supports live and/or batch evaluation workflows 
    across multiple providers ('OpenAI', 'Anthropic', 'Google Gemini', 
    'Together AI', and locally-hosted 'Ollama' models), includes bias-tested 
    prompt templates and a flexible template registry, and offers tools
    for constructing forward and reversed comparison sets to analyze
    consistency and positional bias. Results can be modeled using 
    Bradley–Terry (1952) <doi:10.2307/2334029> or Elo rating methods to derive 
    writing quality scores. For information on the method of pairwise 
    comparisons, see Thurstone (1927) <doi:10.1037/h0070288> and Heldsinger & 
    Humphry (2010) <doi:10.1007/BF03216919>. For information on Elo ratings, see
    Clark et al. (2018) <doi:10.1371/journal.pone.0190393>.

Provides functions for landscape analysis and data retrieval.
    The package allows users to download environmental variables from global
    datasets (e.g., WorldClim, CHELSA, ESA WorldCover, Nighttime Lights), and
    to compute spatial and landscape metrics using a hexagonal grid system
    based on the H3 spatial index. It is useful for ecological modeling,
    biodiversity studies, and spatial data processing in landscape ecology.
    Fick and Hijmans (2017) <doi:10.1002/joc.5086>.
    Zanaga et al. (2022) <doi:10.5281/zenodo.7254221>.
    Uber Technologies Inc. (2022) "H3: Hexagonal hierarchical spatial index".
    Román et al. (2018) <doi:10.1016/j.rse.2018.03.017>.
    Karger et al. (2017) <doi:10.1038/sdata.2017.122>.
    Brun et al. (2022) <doi:10.5194/essd-14-5573-2022>.