Provides a framework for representing discrete numeric series
    (enumerable sets of numbers) that may be finite or infinite. Series can
    be traversed, combined using arithmetic operations, tested for membership,
    and queried for limit points ("sinks"), without explicit enumeration of
    all elements.

Provides vectorised functions for computing p-values of various
  common discrete statistical tests, as described e.g. in Agresti (2002)
  <doi:10.1002/0471249688>, including their distributions. Exact and
  approximate computation methods are provided. For exact ones, several
  procedures of determining two-sided p-values are included, which are
  outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.

Probability mass function, distribution function, quantile function, random generation and parameter estimation for the type I and III discrete Weibull distributions.

A collection of supervised discretization
        algorithms. It can also be grouped in terms of top-down or
        bottom-up, implementing the discretization algorithms.

Bindings for additional classification models for use with
    the 'parsnip' package. Models include flavors of discriminant
    analysis, such as linear (Fisher (1936)
    <doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman
    (1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie,
    Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as
    well as naive Bayes classifiers (Hand and Yu (2007)
    <doi:10.1111/j.1751-5823.2001.tb00465.x>).

Templates and data files to support "Discrete Choice Analysis with R",
    Páez, A. and Boisjoly, G. (2023) <doi:10.1007/978-3-031-20719-8>.

Provides data transformations, estimation utilities,
    predictive evaluation measures and simulation functions for discrete time
    survival analysis.

A simple approach to measure political sophistication based on open-ended survey responses. Discursive sophistication captures the complexity of individual attitude expression by quantifying its relative size, range, and constraint. For more information on the measurement approach see: Kraft, Patrick W. 2023. "Women Also Know Stuff: Challenging the Gender Gap in Political Sophistication." American Political Science Review (forthcoming).