Implements functions for multi-class
   discriminant analysis using binary predictors, for corresponding 
   variable selection, and for dichotomizing continuous data.

Generation of correlated artificial binary data.

Provides a simple interface for creating active bindings where the
    bound function accepts additional arguments.

Provides an easy way to fill an environment with active
    bindings that call a C++ function.

Methods for model selection, model averaging, and calculating metrics, such as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the topmost bin is right-censored.  We provide both a non-parametric method, termed the bounded midpoint estimator (BME), which assigns cases to their bin midpoints; except for the censored bins, where cases are assigned to an income estimated by fitting a Pareto distribution. Because the usual Pareto estimate can be inaccurate or undefined, especially in small samples, we implement a bounded Pareto estimate that yields much better results.  We also provide a parametric approach, which fits distributions from the generalized beta (GB) family. Because some GB distributions can have poor fit or undefined estimates, we fit 10 GB-family distributions and use multimodel inference to obtain definite estimates from the best-fitting distributions. We also provide binned income data from all United States of America school districts, counties, and states.

Binford's hunter-gatherer data includes more than 200 variables
    coding aspects of hunter-gatherer subsistence, mobility, and social organization
    for 339 ethnographically documented groups of hunter-gatherers.

Provides maximum likelihood estimates of the 
    performance parameters that drive a binomial distribution of observed 
    errors, and takes full advantage of zero error observations. High performance 
    communications systems typically have inherent noise sources and other 
    performance limitations that need to be estimated. Measurements made at 
    high signal to noise ratios typically result in zero 
    errors due to limitation in available measurement time. Package includes 
    theoretical performance functions for common modulation schemes (Proakis, 
    "Digital Communications" (1995, <ISBN:0-07-051726-6>)), polarization shifted 
    QPSK (Agrell & Karlsson (2009, <DOI:10.1109/JLT.2009.2029064>)), and utility 
    functions to work with the performance functions.