A client for retrieving data and metadata from major central
    bank APIs. It supports access to the 'Bundesbank SDMX Web Service API'
    (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>),
    the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), the
    'European Central Bank Data Portal API'
    (<https://data.ecb.europa.eu/help/api/overview>), the 'Bank of England
    Interactive Statistical Database'
    (<https://www.bankofengland.co.uk/boeapps/database>), the 'Banco de
    España API'
    (<https://www.bde.es/webbe/en/estadisticas/recursos/api-estadisticas-bde.html>),
    the 'Banque de France Web Service'
    (<https://webstat.banque-france.fr/en/pages/guide-migration-api/>),
    and 'Bank of Canada Valet API'
    (<https://www.bankofcanada.ca/valet/docs>).

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."