Functions for data augmentation using the Bayesian discount prior 
    method for single arm and two-arm clinical trials, as described in Haddad 
    et al. (2017) <doi:10.1080/10543406.2017.1300907>. The discount power prior 
    methodology was developed in collaboration with the The Medical Device 
    Innovation Consortium (MDIC) Computer Modeling & Simulation Working Group.

A  Bayesian smoothing method for post-processing of remote 
    sensing image classification which refines the
    labelling in a classified image in order to enhance its classification accuracy.
    Combines pixel-based classification methods with a spatial post-processing
    method to remove outliers and misclassified pixels.

Suite of tools that facilitate
    exposure-response analysis using Bayesian methods. The package
    provides a streamlined workflow for fitting types of models that are
    commonly used in exposure-response analysis - linear and Emax for continuous
    endpoints, logistic linear and logistic Emax for binary endpoints, as well
    as performing simulation and visualization. Learn more about the workflow
    at <https://genentech.github.io/BayesERbook/>.

Determines effective sample size of a parametric prior distribution
    in Bayesian models. For a web-based Shiny application related to this package, see <https://implement.shinyapps.io/bayesess/>.

A Bayesian framework to estimate the Student's t-distribution's degrees of freedom is developed. Markov Chain Monte Carlo sampling routines are developed as in <doi:10.3390/axioms11090462> to sample from the posterior distribution of the degrees of freedom. A random walk Metropolis algorithm is used for sampling when Jeffrey's and Gamma priors are endowed upon the degrees of freedom. In addition, the Metropolis-adjusted Langevin algorithm for sampling is used under the Jeffrey's prior specification. The Log-normal prior over the degrees of freedom is posed as a viable choice with comparable performance in simulations and real-data application, against other prior choices, where an Elliptical Slice Sampler is used to sample from the concerned posterior.