An R wrapper for using 'TooManyCells', a command line program for clustering, visualizing, and quantifying cell clade relationships. See <https://gregoryschwartz.github.io/too-many-cells/> for more details.

Token-Oriented Object Notation (TOON) is a compact, human-readable 
    serialization format designed for passing structured data to Large Language
    Models with significantly reduced token usage. It's intended for LLM input
    as a lossless, drop-in representation of JSON data.

A minimal-dependency, performance-first R package for reading,
    writing, validating, streaming, and converting TOON (Token-Oriented Object
    Notation) data. Optimized for very large tabular files with robust
    diagnostics. Supports lossless JSON conversion and tabular CSV/Parquet/Feather
    conversion.

Language specific cardinal to ordinal number conversion.

Computes dental caries indices (DMFT, DMFS, dmft, dmfs) from
    surface-level clinical examination data and produces odontogram heatmap
    visualizations of per-tooth-surface outcomes. Supports primary and
    permanent dentition with configurable teeth per quadrant (5 to 8),
    separate root and coronal caries tallying, long and wide input formats,
    stratified output, and FDI/Universal/quadrant tooth numbering conversion.

Two- and three-dimensional morphometric maps of enamel and 
	dentine thickness and multivariate analysis. 
	Volume calculation of dental materials. 
	Principal component analysis of thickness maps with 
	associated morphometric map variations.

Topological correlation coefficient is used to identify dependencies between Time-Dependent Objects and is applicable to objects such as time series, chaotic systems, and dynamic networks.

Several datasets which describe the chef contestants in Top Chef, 
    the challenges that they compete in, and the results of those challenges. 
    This data is useful for practicing data wrangling, graphing, and analyzing 
    how each season of Top Chef played out.

The 'TopDom' method identifies topological domains in genomes from Hi-C sequence data (Shin et al., 2016 <doi:10.1093/nar/gkv1505>).  The authors published an implementation of their method as an R script (two different versions; also available in this package).  This package originates from those original 'TopDom' R scripts and provides help pages adopted from the original 'TopDom' PDF documentation.  It also provides a small number of bug fixes to the original code.