R client for Bender Hyperparameters optimizer : <https://bender.dreem.com>
    The R client allows you to communicate with the Bender API and therefore submit some new trials within your R script itself.

Perform the Benford's Analysis to a data set in order to evaluate if it contains human fabricated data. For more details on the method see Moreau, 2021, Model Assist. Statist. Appl., 16 (2021) 73–79. <doi:10.3233/MAS-210517>.

Provides tools that make it easier to validate data using Benford's Law.

Several specialized statistical tests and support functions 
			for determining if numerical data could conform to Benford's law.

Analysis tool for evaluating benthic multimetric indices (BENMMIs). 
    It generates reproducible reports on the analysis of benthic data, e.g., 
    validation and correction of species names, sample pooling, automatic
    conversion of genus to species names, outlier detection, benthic 
    indicator calculation, optimization of single and 
    multimetric indicators against a pressure gradient, and spatial aggregation
    of benthic indicators. One of its use cases was the development of a common 
    benthic indicator for <https://www.ospar.org> (publication accepted by 
    Ecological Indicators). See Van Loon et al. (2018) <doi:10.1016/j.ecolind.2017.09.029> for details.

Bayesian model and associated tools for generating estimates of 
    total naloxone kit numbers distributed and used from naloxone kit orders 
    data. Provides functions for generating simulated data of naloxone kit use
    and functions for generating samples from the posterior.

Included are two main interfaces, bentcable.ar() and
	bentcable.dev.plot(), for fitting and diagnosing bent-cable
	regressions for autoregressive time-series data (Chiu and
	Lockhart 2010, <doi:10.1002/cjs.10070>) or independent data (time
	series or otherwise - Chiu, Lockhart and Routledge 2006,
	<doi:10.1198/016214505000001177>). Some components in the package
	can also be used as stand-alone functions. The bent cable
	(linear-quadratic-linear) generalizes the broken stick
	(linear-linear), which is also handled by this package. Version
	0.2 corrected a glitch in the computation of confidence intervals
	for the CTP. References that were updated from Versions 0.2.1 and
	0.2.2 appear in Version 0.2.3 and up. Version 0.3.0 improved
	robustness of the error-message producing mechanism. Version 0.3.1
	improves the NAMESPACE file of the package. It is the author's
	intention to distribute any future updates via GitHub.