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.

Genotyping the population using next generation sequencing data is essentially important for the rare variant detection. In order to distinguish the genomic structural variation from sequencing error, we propose a statistical model which involves the genotype effect through a latent variable to depict the distribution of non-reference allele frequency data among different samples and different genome loci, while decomposing the sequencing error into sample effect and positional effect. An ECM algorithm is implemented to estimate the model parameters, and then the genotypes and SNPs are inferred based on the empirical Bayes method.

Tools for accessing and analyzing eBird Status and
    Trends Data Products
    (<https://science.ebird.org/en/status-and-trends>). eBird
    (<https://ebird.org/home>) is a global database of bird observations
    collected by member of the public. eBird Status and Trends uses these
    data to model global bird distributions, abundances, and population trends 
    at a high spatial and temporal resolution.