Retrieve cancer screening data for cervical, breast and colorectal
    cancers from the Kenya Health Information System <https://hiskenya.org> in a 
    consistent way.

Functions for computing and visualizing 
	generalized canonical discriminant analyses and canonical correlation analysis
	for a multivariate linear model.
	Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA'
	design and is equivalent to canonical correlation analysis between a set of quantitative
	response variables and a set of dummy variables coded from the factor variable.
	The 'candisc' package generalizes this to higher-way 'MANOVA' designs
	for all factors in a multivariate linear model,
	computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) 
	visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are
	now provided for canonical correlation analysis when all predictors are quantitative. Methods for
	linear discriminant analysis are now included.

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>.

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.