Provides a set of convenient functions for calculating sun-related information, including the sun's position (elevation and azimuth), and the times of sunrise, sunset, solar noon, and twilight for any given geographical location on Earth. These calculations are based on equations provided by the National Oceanic & Atmospheric Administration (NOAA) <https://gml.noaa.gov/grad/solcalc/calcdetails.html> as described in "Astronomical Algorithms" by Jean Meeus (1991, ISBN: 978-0-943396-35-4).

Methodology for supervised grouping aka "clustering" of
   potentially many predictor variables, such as genes etc, implementing
   algorithms 'PELORA' and 'WILMA'.

An implementation of interpreted string literals. Based on the
  'glue' package by Hester & Bryan (2024) <doi:10.32614/CRAN.package.glue> but
  with a focus on efficiency and simplicity at a cost of flexibility.

Computes standard error and confidence interval of various descriptive statistics under 
        various designs and sampling schemes. The main function, superb(), return a plot. It can 
        also be used to obtain a dataframe with the statistics and their precision intervals 
        so that other plotting environments (e.g., Excel)
        can be used. See Cousineau and colleagues (2021) <doi:10.1177/25152459211035109> 
        or Cousineau (2017) <doi:10.5709/acp-0214-z> for a review as well as Cousineau (2005)
        <doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012)
        <doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>,
        Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding 
        <doi:10.20982/tqmp.15.1.p001> for specific references.
        The documentation is available at <https://dcousin3.github.io/superb/> .

Aggregates large single-cell data into metacell dataset by merging together gene expression of very similar cells. 'SuperCell' uses 'velocyto.R' <doi:10.1038/s41586-018-0414-6> <https://github.com/velocyto-team/velocyto.R> for RNA velocity and 'WeightedCluster' <doi:10.12682/lives.2296-1658.2013.24> <https://mephisto.unige.ch/weightedcluster/> for weighted clustering on metacells. We also recommend installing 'scater' Bioconductor package <doi:10.18129/B9.bioc.scater> <https://bioconductor.org/packages/release/bioc/html/scater.html>.