Real Twig is a method to correct branch overestimation in quantitative structure models. Overestimated cylinders are correctly tapered using measured twig diameters of corresponding tree species. Supported quantitative structure modeling software includes 'TreeQSM', 'SimpleForest', 'Treegraph', and 'aRchi'. Also included is a novel database of twig diameters and tools for fractal analysis of point clouds.

A trimmed down copy of the "kent-core source tree"
	turned into a 'C' library for manipulation of '.2bit' files.
	See <https://genome.ucsc.edu/FAQ/FAQformat.html#format7>
	for a quick overview of the '2bit' format. The "kent-core source tree"
	can be found here: <https://github.com/ucscGenomeBrowser/kent-core/>.
	Only the '.c' and '.h' files from the source tree that are related
	to manipulation of '.2bit' files were kept. Note that the package
	is primarily useful to developers of other R packages who wish
	to use the '2bit' 'C' library in their own 'C'/'C++' code.

A strong type system for R which supports
    symbol declaration and assignment with type checking
    and condition checking.

An R interface to the 'typeform' <https://www.typeform.com/>
    application program interface.  Also provides functions for
    downloading your results.

R bindings for functions from the UCR Suite by Rakthanmanon et al. (2012) <DOI:10.1145/2339530.2339576>, which enables ultrafast subsequence
      search for a best match under Dynamic Time Warping and Euclidean Distance.

ARFIMA, in-mean, external regressors and various GARCH flavors, with methods for fit, forecast, simulation, inference and plotting.

Automatically flags common spatial errors in biological collection data using metadata and specialists' information. RuHere implements a workflow to manage occurrence data through six steps: dataset merging, metadata flagging, validation against expert-derived distribution maps, visualization of flagged records, and sampling bias exploration. It specifically integrates specialist-curated range information to identify geographic errors and introductions that often escape standard automated validation procedures. For details on the methodology, see: Trindade & Caron (2026) <doi:10.64898/2026.02.02.703373>.