Quite extensive package for maximum likelihood estimation and
    weighted least squares estimation of categorical marginal models (CMMs;
    e.g., Bergsma and Rudas, 2002, <http://www.jstor.org/stable/2700006?;
    Bergsma, Croon and Hagenaars, 2009, <DOI:10.1007/b12532>.

CEU (CEU San Pablo University) Mass Mediator is an on-line tool for aiding researchers in 
  performing metabolite annotation. 'cmmr' (CEU Mass Mediator RESTful API) allows 
  for programmatic access in R: batch search, batch advanced search, MS/MS (tandem mass spectrometry) search, etc.
  For more information about the API Endpoint please go to <https://github.com/lzyacht/cmmr>.

A compositional mediation model for continuous outcome and binary outcomes to deal with mediators that are compositional data. Lin, Ziqiang et al. (2022) <doi:10.1016/j.jad.2021.12.019>.

Provides the source and examples for James P. Howard, II, 
             "Computational Methods for Numerical Analysis with R," 
             <https://jameshoward.us/cmna/>, a book on numerical
             methods in R.

Perceptually uniform palettes for commonly used
	variables in oceanography as functions taking an integer
	and producing character vectors of colours.
	See Thyng, K.M., Greene, C.A., Hetland, R.D., Zimmerle, H.M.
	and S.F. DiMarco (2016) <doi:10.5670/oceanog.2016.66> for
	the guidelines adhered to when creating the palettes.

Manhattan plot, a type of scatter plot, was widely used to display the association results. However, it is usually time-consuming and laborious for a non-specialist user to write scripts and adjust parameters of an elaborate plot. Moreover, the ever-growing traits measured have necessitated the integration of results from different Genome-wide association study researches. Circle Manhattan Plot is the first open R package that can lay out. Genome-wide association study P-value results in both traditional rectangular patterns, QQ-plot and novel circular ones. United in only one bull's eye style plot, association results from multiple traits can be compared interactively, thereby to reveal both similarities and differences between signals. Additional functions include: highlight signals, a group of SNPs, chromosome visualization and candidate genes around SNPs.