Computes empirical Bayes confidence estimators and confidence
    intervals in a normal means model. The intervals are robust in the sense
    that they achieve correct coverage regardless of the distribution of the
    means. If the means are treated as fixed, the intervals have an average
    coverage guarantee. The implementation is based on Armstrong, Kolesár and
    Plagborg-Møller (2020) <arXiv:2004.03448>.

Estimate prior variable weights for Bayesian Additive Regression
    Trees (BART). These weights correspond to the probabilities of the variables
    being selected in the splitting rules of the sum-of-trees.
    Weights are estimated using empirical Bayes and external information on 
    the explanatory variables (co-data).
    BART models are fitted using the 'dbarts' 'R' package.
    See Goedhart and others (2023) <doi:10.1002/sim.70004> for details.

Infer the adjacency matrix of a
	network from time course data using an empirical Bayes
	estimation procedure based on Dynamic Bayesian Networks.

Provides statistical methods for estimating bivariate dependency (correlation) from marginal summary statistics across multiple studies. 
    The package supports three modules: (1) bivariate correlation estimation for binary outcomes, (2) bivariate correlation estimation for continuous outcomes, and 
    (3) estimation of component-wise means and variances under a conditional two-component Gaussian mixture model for a continuous variable stratified by a binary class label.
    These methods enable privacy-preserving joint estimation when individual-level data are unavailable.
    The approaches are detailed in Shang, Tsao, and Zhang (2025a) <doi:10.48550/arXiv.2505.03995> and Shang, Tsao, and Zhang (2025b) <doi:10.48550/arXiv.2508.02057>.

Provides the Empirical Bayesian Elastic Net for handling multicollinearity in generalized linear regression models.  As a special case of the 'EBglmnet'
  package (also available on CRAN), this package encourages a grouping effects to select relevant variables and estimate the corresponding non-zero effects.