Implement various chromosomal instability metrics. 'CINmetrics' (Chromosomal INstability metrics) provides functions to 
    calculate various chromosomal instability metrics on masked Copy Number Variation(CNV) data at individual sample level. The 
    chromosomal instability metrics have been implemented as described in the following studies: 
    Baumbusch LO et al. 2013 <doi:10.1371/journal.pone.0054356>, 
    Davidson JM et al. 2014 <doi:10.1371/journal.pone.0079079>, 
    Chin SF et al. 2007 <doi:10.1186/gb-2007-8-10-r215>.

Computing, comparing, and demonstrating top informative centrality measures within a network. "CINNA: an R/CRAN package to decipher Central Informative Nodes in Network Analysis" provides a comprehensive overview of the package functionality Ashtiani et al. (2018) <doi:10.1093/bioinformatics/bty819>.

Simple interpolation methods designed to be used from C
    code. Supports constant, linear and spline interpolation. An R
    wrapper is included but this package is primarily designed to be
    used from C code using 'LinkingTo'.  The spline calculations are
    classical cubic interpolation, e.g., Forsythe, Malcolm and Moler
    (1977) <ISBN: 9780131653320>.

Implements computationally-efficient construction of
    confidence intervals from permutation or randomization tests
    for simple differences in means,
    based on Nguyen (2009) <doi:10.15760/etd.7798>.

Encrypts and decrypts using basic ciphers. None of 
  these should be used in place of real encryption using state of the art tools. 
  The ciphers included use methods described in the ciphers's Wikipedia and 
  cryptography hobby websites.

Classical cryptography methods for words and brief phrases.
    Substitution, transposition and concealment (null) ciphers are available, like
    Caesar, Vigenère, Atbash, affine, simple substitution, Playfair,
    rail fence, Scytale, single column, bifid, trifid, and Polybius ciphers.

Plot confidence interval from the objects of statistical tests such as
  t.test(), var.test(), cor.test(), prop.test() and fisher.test() ('htest' class),
  Tukey test [TukeyHSD()], Dunnett test [glht() in 'multcomp' package],
  logistic regression [glm()], and Tukey or Games-Howell test [posthocTGH() in
  'userfriendlyscience' package].
  Users are able to set the styles of lines and points.
  This package contains the function to calculate odds ratios and their confidence
  intervals from the result of logistic regression.