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.

Calculates confidence intervals after variable selection using repeated data splits. The package offers methods to address the challenges of post-selection inference, ensuring more accurate confidence intervals in models involving variable selection. The two main functions are 'lmps', which records the different models selected across multiple data splits as well as the corresponding coefficient estimates, and 'cips', which takes the lmps object as input to select variables and perform inferences using two types of voting.

Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data. For dev version and change history, see GitHub assaforon/cir.