Tools for exploratory analysis of tabular data using colour 
 highlighting. Highlighting is displayed in any console supporting 'ANSI'
 colours, and can be converted to 'HTML', 'typst', 'latex' and 'SVG'. 
 'quarto' and 'rmarkdown' rendering are directly supported. It is 
 also possible to add colour to regular expression matches and 
 highlight differences between two arbitrary R objects.

Evaluates the empirical characteristic function of univariate and multivariate samples.
    This package uses 'RcppArmadillo' for fast evaluation. It is also possible to export the code to be used in other packages at 'C++' level.

Routines for performing empirical calibration of observational
  study estimates. By using a set of negative control hypotheses we can
  estimate the empirical null distribution of a particular observational
  study setup. This empirical null distribution can be used to compute a
  calibrated p-value, which reflects the probability of observing an
  estimated effect size when the null hypothesis is true taking both random
  and systematic error into account. A similar approach can be used to
  calibrate confidence intervals, using both negative and positive controls. 
  For more details, see Schuemie et al. (2013) <doi:10.1002/sim.5925> and
  Schuemie et al. (2018) <doi:10.1073/pnas.1708282114>.

Empirical likelihood ratio tests for means/quantiles/hazards
 	from possibly censored and/or truncated data. Now does regression too.
	This version contains some C code.

Calculates the p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on 
        two samples with possible censored data.

Test hypotheses and construct confidence intervals for AUC (area under Receiver 
             Operating Characteristic curve) and pAUC (partial area under ROC curve), from the
			 given two samples of test data with disease/healthy subjects. The method used is
			 based on TWO SAMPLE empirical likelihood and PROFILE empirical likelihood, as described in
			 <https://www.ms.uky.edu/~mai/research/eAUC1.pdf>.