Non-linear/linear hybrid method for batch-effect correction
    that uses Mutual Nearest Neighbors (MNNs) to identify similar cells between 
    datasets. Reference: Loza M. et al. (NAR Genomics and Bioinformatics, 2020) <doi:10.1093/nargab/lqac022>.

Extra family objects in "weird" scenarios, particularly
    logistic or log-linear model with unbounded or non-binary/non-integer
    outcomes. Provides binomial_extra() and poisson_extra() as
    generalizations of binomial() and poisson(). The use of canonical link
    with the corresponding working likelihood in glm() ensures convexity,
    making model fitting reliable and independent of starting value.
    Robert WM Wedderburn (1974) <doi:10.1093/biomet/61.3.439> and Peter McCullagh (1983) <doi:10.1214/aos/1176346056> justified this method to fit generalized linear (mean) models with quasi-/working likelihood.

Chemical analysis of proteins based on their amino acid
  compositions. Amino acid compositions can be read from FASTA files and used to
  calculate chemical metrics including carbon oxidation state and stoichiometric
  hydration state, as described in Dick et al. (2020) <doi:10.5194/bg-17-6145-2020>. 
  Other properties that can be calculated include protein length, grand average of
  hydropathy (GRAVY), isoelectric point (pI), molecular weight (MW), standard
  molal volume (V0), and metabolic costs (Akashi and Gojobori, 2002
  <doi:10.1073/pnas.062526999>; Wagner, 2005 <doi:10.1093/molbev/msi126>;
  Zhang et al., 2018 <doi:10.1038/s41467-018-06461-1>). A database of amino acid
  compositions of human proteins derived from UniProt is provided.

Facilitate working with Statistics Canada (StatCan) Public Use
    Microdata Files (PUMF). Enables downloading of available PUMF data,
    parsing of metadata from command files or other sources to infer the layout
    structure, variable labels and value labels as well as missing data values,
    and returns a connection to a 'DuckDB' database with the labelled data.
    Data and documentation come from Statistics Canada's Public Use Microdata
    Files <https://www.statcan.gc.ca/en/microdata/pumf>, distributed under the
    Statistics Canada Open Licence
    <https://www.statcan.gc.ca/en/terms-conditions/open-licence>.