Extends the S3 generic function knit_print() in 'knitr'
    to automatically print some objects using an appropriate format such as
    Markdown or LaTeX. For example, data frames are automatically printed as
    tables, and the help() pages can also be rendered in 'knitr' documents.

Quickly visualize 'R' project directory structures with automatic 
    project detection and clean tree output.

Provides methods for reducing the number of features within a data set. See Bauer JO (2021) <doi:10.1145/3475827.3475832> and Bauer JO, Drabant B (2021) <doi:10.1016/j.jmva.2021.104754> for more information on principal loading analysis.

Three-dimensional systematic conservation planning, conducting
             nested prioritization analyses across multiple depth levels and
             ensuring efficient resource allocation throughout the water column.
             It provides a structured workflow designed to address biodiversity
             conservation and management challenges in the 3 dimensions, while
             facilitating users’ choices and parameterization (Doxa et al. 2025
             <doi:10.1016/j.ecolmodel.2024.110919>).

An innovative tool-set that incorporates graph community detection
             methods into systematic conservation planning. It is designed to
             enhance spatial prioritization by focusing on the protection of
             areas with high ecological connectivity. Unlike traditional
             approaches that prioritize individual planning units, 'priorCON'
             focuses on clusters of features that exhibit strong ecological
             linkages. The 'priorCON' package is built upon the 'prioritizr'
             package <doi:10.32614/CRAN.package.prioritizr>, using commercial
             and open-source exact algorithm solvers that ensure optimal
             solutions to prioritization problems.

Translates beliefs into prior information in the form of Beta and Gamma distributions. 
	It can be used for the generation of priors on the prevalence of disease and 
	the sensitivity/specificity of diagnostic tests and any other binomial experiment.