A graphical and automated pipeline for the analysis 
		of short time-series in R ('santaR'). This approach is designed to accommodate asynchronous 
		time sampling (i.e. different time points for different individuals), 
		inter-individual variability, noisy measurements and large numbers of variables. 
		Based on a smoothing splines functional model, 'santaR' is able to detect variables
		highlighting significantly different temporal trajectories between study groups.
		Designed initially for metabolic phenotyping, 'santaR' is also suited for other Systems Biology 
		disciplines. Command line and graphical analysis (via a 'shiny' application) enable fast and
		parallel automated analysis and reporting, intuitive visualisation and comprehensive plotting
		options for non-specialist users.

A tool for cutting data into intervals. Allows singleton intervals.
  Always includes the whole range of data by default. Flexible labelling. 
  Convenience functions for cutting by quantiles etc. Handles dates, times, units
  and other vectors.

An efficient tool for fitting the nested common and shared atoms models using variational Bayes approximate inference for fast computation. Specifically, the package implements the common atoms model (Denti et al., 2023), its finite version (D'Angelo et al., 2023), and a hybrid finite-infinite model. 
            All models use Gaussian mixtures with a normal-inverse-gamma prior distribution on the parameters. Additional functions are provided to help analyze the results of the fitting procedure.  
            References:   
            Denti, Camerlenghi, Guindani, Mira (2023) <doi:10.1080/01621459.2021.1933499>,    
            D’Angelo, Canale, Yu, Guindani (2023) <doi:10.1111/biom.13626>.

Inspired by the art and color research of Sanzo Wada (1883-1967), 
    his "Dictionary Of Color Combinations" (2011, ISBN:978-4861522475), and the 
    interactive site by Dain M. Blodorn Kim <https://github.com/dblodorn/sanzo-wada>, 
    this package brings Wada's color combinations to R for easy use in data 
    visualizations. This package honors 60 of Wada's color combinations: 
    20 duos, 20 trios, and 20 quads.