Inspired by the the 'futile.logger' R package and 'logging'
    Python module, this utility provides a flexible and extensible way of
    formatting and delivering log messages with low overhead.

Pure R implementation of the ubiquitous log4j package. It offers hierarchic 
  loggers, multiple handlers per logger, level based filtering, space handling in messages 
  and custom formatting.

An easy-to-use 'ndjson' (newline-delimited 'JSON') logger.
    It provides a set of wrappers for base R's message(), warning(), and
    stop() functions that maintain identical functionality, but also log
    the handler message to an 'ndjson' log file.
    No change in existing code is necessary to use this package, 
    and only a few additional adjustments are needed to fully 
    utilize its potential.

Implementation of the Swiss Confederation's standard analysis
    model for salary analyses
    <www.ebg.admin.ch/en/equal-pay-analysis-with-logib> in R. The
    analysis is run at company-level and the model is intended for
    medium-sized and large companies. It can technically be used with 50
    or more employees (apprentices, trainees/interns and expats are not
    included in the analysis). Employees with at least 100 employees are
    required by the Gender Equality Act to conduct an equal pay analysis.
    This package allows users to run the equal salary analysis in R,
    providing additional transparency with respect to the methodology and
    simple automation possibilities.

Fast binning of multiple variables using parallel processing. A summary of all the variables binned is generated which provides the information value, entropy, an indicator of whether the variable follows a monotonic trend or not, etc. It supports rebinning of variables to force a monotonic trend as well as manual binning based on pre specified cuts. The cut points of the bins are based on conditional inference trees as implemented in the partykit package. The conditional inference framework is described by Hothorn T, Hornik K, Zeileis A (2006) <doi:10.1198/106186006X133933>.