Streamlined statistical reporting in 'Rmarkdown' environments. 
    Facilitates the automated reporting of descriptive statistics, multiple 
    univariate models, multivariable models and tables combining these outputs. 
    Plotting functions include customisable survival curves, forest plots from 
    logistic and ordinal regression and bivariate comparison plots.

Provides an easy way to report the results of ROC analysis, including:
    1. an ROC curve. 
    2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy),
    SEN (sensitivity), SPE (specificity),
    PLR (positive likelihood ratio), NLR (negative likelihood ratio),
    PPV (positive predictive value), NPV (negative predictive value),
    PPA (percentage of positive accordance), NPA (percentage of negative accordance), TPA (percentage of total accordance),
    KAPPA (kappa value).

Adds subtotal rows / sections (a la the 'SAS' 'Proc Tabulate' All option) to a Group By output by running a series of Group By functions with partial sets of the same variables and combining the results with the original. Can be used to add comprehensive information to a data report or to quickly aggregate Group By outputs used to gain a greater understanding of data.

These functions are especially helpful when writing reports of data analysis using "Sweave".

An R Interface to 'EPP-lab' v1.0. 'EPP-lab' is a Java program for
    projection pursuit using genetic algorithms written by Alain Berro and S. Larabi
    Marie-Sainte and is included in the package.

Performs exploratory projection pursuit  via 'REPPlab' (Daniel Fischer, Alain Berro, Klaus Nordhausen & Anne Ruiz-Gazen (2019) <doi:10.1080/03610918.2019.1626880>) using a Shiny app.

String and binary representations of objects for several formats /
    mime types.

Compute the values of various parameters evaluating how similar two multidimensional datasets' structures are in multidimensional space, as described in: Jouan-Rimbaud, D., Massart, D. L., Saby, C. A., Puel, C. (1998), <doi:10.1016/S0169-7439(98)00005-7>. The computed parameters evaluate three properties, namely, the direction of the data sets, the variance-covariance of the data points, and the location of the data sets' centroids. The package contains workhorse function jrparams(), as well as two helper functions Mboxtest() and JRsMahaldist(), and four example data sets.