A novel feature-wise normalization method based on a zero-inflated negative binomial model. This method assumes that the effects of sequencing depth vary for each taxon on their mean and also incorporates a rational link of zero probability and taxon dispersion as a function of sequencing depth. Ziyue Wang, Dillon Lloyd, Shanshan Zhao, Alison Motsinger-Reif (2023) <doi:10.1101/2023.10.31.563648>.

Computation and visualization of Taxicab Correspondence Analysis, Choulakian (2006) <doi:10.1007/s11336-004-1231-4>.  Classical correspondence analysis (CA) is a statistical method to analyse 2-dimensional tables of positive numbers and is typically applied to contingency tables (Benzecri, J.-P. (1973). L'Analyse des Donnees. Volume II. L'Analyse des Correspondances. Paris, France: Dunod).  Classical CA is based on the Euclidean distance.  Taxicab CA is like classical CA but is based on the Taxicab or Manhattan distance.  For some tables, Taxicab CA gives more informative results than classical CA.

Download taxonomic databases, convert them into 'SQLite' format, 
    and query them locally for fast, reliable, and reproducible access to 
    taxonomic data.

Handling taxonomic lists through objects of class 'taxlist'.
    This package provides functions to import species lists from 'Turboveg'
    (<https://www.synbiosys.alterra.nl/turboveg/>) and the possibility to create
    backups from resulting R-objects.
    Also quick displays are implemented as summary-methods.

A collection of functions used to format taxonomic names in Markdown
    documents. Those functions work with data structured according to
    Alvarez and Luebert (2018) <doi:10.3897/bdj.6.e23635>.

Functions for assigning taxonomy to NCBI accession numbers and taxon IDs based on NCBI's accession2taxid and taxdump files. This package allows the user to download NCBI data dumps and create a local database for fast and local taxonomic assignment.

A comprehensive resource for data on Taylor Swift songs. Data
    is included for all officially released studio albums, extended plays
    (EPs), and individual singles are included. Data comes from 'Genius'
    (lyrics) and 'Spotify' (song characteristics). Additional functions
    are included for easily creating data visualizations with color
    palettes inspired by Taylor Swift's album covers.