Bayesian Beta Regression, adapted for bounded discrete responses, commonly seen in survey responses.
  Estimation is done via Markov Chain Monte Carlo sampling, using a Gibbs wrapper around univariate slice sampler 
  (Neal (2003) <DOI:10.1214/aos/1056562461>), as implemented in the R package MfUSampler 
  (Mahani and Sharabiani (2017) <DOI: 10.18637/jss.v078.c01>).

Robust distance-based methods applied to matrices and data frames, producing distance matrices that can be used as input for various visualization techniques such as graphs, heatmaps, or multidimensional scaling configurations. See Boj and Grané (2024) <doi:10.1016/j.seps.2024.101992>.

A fast reimplementation of several density-based algorithms
    of the DBSCAN family. Includes the clustering algorithms DBSCAN
    (density-based spatial clustering of applications with noise) and
    HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering
    points to identify the clustering structure), shared nearest neighbor
    clustering, and the outlier detection algorithms LOF (local outlier
    factor) and GLOSH (global-local outlier score from hierarchies). The
    implementations use the kd-tree data structure (from library ANN) for
    faster k-nearest neighbor search. An R interface to fast kNN and
    fixed-radius NN search is also provided.  Hahsler, Piekenbrock and
    Doran (2019) <doi:10.18637/jss.v091.i01>.

Prediction methods where explanatory information is coded as a matrix of distances between individuals. Distances can either be directly input as a distances matrix, a squared distances matrix, an inner-products matrix or computed from observed predictors.

First using 'dada2' R tools to analyse metabarcode data, the 'DBTC' package then uses the BLAST algorithm to search unknown sequences against local databases, and then takes reduced matched results and provides best taxonomic assignments.

Metabarcoding analysis using the 'DBTC' package is implemented here using 'shiny' in an interactive graphical user interface to conduct Metabarcode analyses and visualize and filter results.