Benchmark your CPU and compare against other CPUs.  Also
    provides functions for obtaining system specifications, such as RAM,
    CPU type, and R version.

Crowd sourced benchmarks from running the
    'benchmarkme' package.

Provides a set of models to estimate nonlinear longitudinal data using Bayesian estimation methods. These models include the: 1) Bayesian Piecewise Random Effects Model (Bayes_PREM()) which estimates a piecewise random effects (mixture) model for a given number of latent classes and a latent number of possible changepoints in each class, and can incorporate class and outcome predictive covariates (see Lamm (2022) <https://hdl.handle.net/11299/252533> and Lock et al., (2018) <doi:10.1007/s11336-017-9594-5>), 2) Bayesian Crossed Random Effects Model (Bayes_CREM()) which estimates a linear, quadratic, exponential, or piecewise crossed random effects models where individuals are changing groups over time (e.g., students and schools; see Rohloff et al., (2024) <doi:10.1111/bmsp.12334>), and 3) Bayesian Bivariate Piecewise Random Effects Model (Bayes_BPREM()) which estimates a bivariate piecewise random effects model to jointly model two related outcomes (e.g., reading and math achievement; see Peralta et al., (2022) <doi:10.1037/met0000358>).

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.

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.