Enhances the H2O platform by providing tools for detailed evaluation of machine learning models. It includes functions for bootstrapped performance evaluation, extended F-score calculations, and various other metrics, aimed at improving model assessment.

Implements the sample size methods for hierarchical 2x2 factorial trials under two choices of effect estimands and a series of hypothesis tests proposed in "Sample size calculation in hierarchical 2x2 factorial trials with unequal cluster sizes" (under review), and provides the table and plot generators for the sample size estimations.

Provides access to Uber's H3 library for geospatial indexing via its JavaScript transpile 'h3-js' <https://github.com/uber/h3-js> and 'V8' <https://github.com/jeroen/v8>.

'H3' is a hexagonal hierarchical spatial index developed by 'Uber' <https://h3geo.org/>.
  This package exposes the source code of 'H3' (written in 'C') to routines that are callable through 'R'.

A dependency free interface to the H3 geospatial indexing system utilizing the Rust library 'h3o' <https://github.com/HydroniumLabs/h3o> via the 'extendr' library <https://github.com/extendr/extendr>.

Provides access to Uber's 'H3' geospatial indexing system via 'h3lib' 
  <https://CRAN.R-project.org/package=h3lib>. 'h3r' is designed to mimic the 'H3' 
  Application Programming Interface (API) <https://h3geo.org/docs/api/indexing/>, 
  so that any function in the API is also available in 'h3r'.

Provides tools for species distribution modeling using H3
  hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>).
  Facilitates retrieval of species occurrence records, generation of H3 grids,
  computation of landscape metrics, and preparation of spatial data for modern
  species distribution models workflows. Designed for biodiversity and landscape ecology research.

A user-friendly interface for the Hierarchical Data Format 5 
    ('HDF5') library designed to "just work." It bundles the necessary 
    system libraries to ensure easy installation on all platforms. Features 
    smart defaults that automatically map R objects (vectors, matrices, 
    data frames) to efficient 'HDF5' types, removing the need to manage 
    low-level details like dataspaces or property lists. Uses the 'HDF5' 
    library developed by The HDF Group <https://www.hdfgroup.org/>.