Set of functions to calculate Benthic Biotic Indices from
	composition data, obtained whether from morphotaxonomic inventories or
	sequencing data. Based on reference ecological weights publicly available for
	a set of commonly used marine biotic indices, such as AMBI (A Marine Biotic Index, Borja et al., 2000) <doi:10.1016/S0025-326X(00)00061-8>
	NSI (Norwegian Sensitivity Index) and ISI (Indicator Species Index) (Rygg 2013, <ISBN:978-82-577-6210-0>). It provides the ecological quality status of the samples based on each BBI as well as the normalized Ecological Quality Ratio.

Download data and metadata from the 'Bundesbank SDMX Web
    Service API' found at
    <https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>
    and the 'ECB Data Portal API' found at
    <https://data.ecb.europa.eu/help/api/overview>.

A fast and intuitive batch effect removal tool for single-cell data. BBKNN is originally used in the 'scanpy' python package, and now can be used with 'Seurat' seamlessly.

Supervised learning using Boltzmann Bayes model inference, 
    which extends naive Bayes model to include interactions. Enables 
    classification of data into multiple response groups based on a large 
    number of discrete predictors that can take factor values of 
    heterogeneous levels. Either pseudo-likelihood or mean field 
    inference can be used with L2 regularization, cross-validation, and 
    prediction on new data. 
    <doi:10.18637/jss.v101.i05>.

Miscellaneous helper functions for and from B. Bischl and
    some other guys, mainly for package development.

The method models RNA-seq reads using a mixture of 3 beta-binomial distributions to generate posterior probabilities for genotyping bi-allelic single nucleotide polymorphisms. Elena Vigorito, Anne Barton, Costantino Pitzalis, Myles J. Lewis and Chris Wallace (2023) <doi:10.1093/bioinformatics/btad393> "BBmix: a Bayesian beta-binomial mixture model for accurate genotyping from RNA-sequencing."