Implements the methodological developments found in Hermes, van Heerwaarden, and Behrouzi (2025) <doi:10.48550/arXiv.2407.10846>, and allows for the statistical modeling of multi-group rank data in combination with object variables. The package also allows for the simulation of synthetic multi-group rank data.

A port of the 'spReapportion' package, using Simple Features in order to lose the dependencies to the retired 'maptools' and 'rgeos' packages.

Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich,
   some of which were ported from S-plus in the 1990s.
 For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe
   plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()',
   pretty arrows, etc.
 For robustness, have a robust F test and robust range().
 For system support, notably on Linux, provides 'Sys.*()' functions with
   more access to system and CPU information.
 Finally, miscellaneous utilities such as simple efficient prime numbers,
   integer codes, Duplicated(), toLatex.numeric() and is.whole().

A series of tools for analyzing Systems Factorial Technology data.  This includes functions for plotting and statistically testing capacity coefficient functions and survivor interaction contrast functions.  Houpt, Blaha, McIntire, Havig, and Townsend (2013) <doi:10.3758/s13428-013-0377-3> provide a basic introduction to Systems Factorial Technology along with examples using the sft R package.

Classes and methods for spatial objects that have a registered time 
    column, in particular for irregular spatiotemporal data. The time column can 
    be of any type, but needs to be ordinal. Regularly laid out spatiotemporal 
    data (vector or raster data cubes) are handled by package 'stars'.

Contains space filling based tools for
    machine learning and data mining. Some functions offer
    several computational techniques and deal with the out of
    memory for large big data by using the ff package.

Provides a high-level, object-oriented interface for Secure 
    File Transfer Protocol (SFTP) operations built upon the 'curl' 
    package. The package implements an 'R6' class to manage persistent 
    connections and provides 'tidyverse'-style functions for common file 
    system tasks. Key features include recursive directory creation with 
    idempotency support, "smart" local path resolution that distinguishes 
    between files and directories, and the ability to download remote 
    resources directly into memory as raw vectors for seamless 
    integration into data processing pipelines. It is designed to handle 
    common SFTP edge cases gracefully, providing informative error 
    messages and robust path sanitization to ensure compatibility across 
    different server configurations.