Determining Effective Sample Size (BayesESS)
Determines effective sample size of a parametric prior distribution in Bayesian models. To learn more about Bayesian effective sample size, see: Morita, S., Thall, P. F., & Muller, P. (2008) <https://…/25502095>.

Analyzing Replicated ChIP Sequencing Data Using Quasi-Likelihood (BinQuasi)
Identify peaks in ChIP-seq data with biological replicates using a one-sided quasi-likelihood ratio test in quasi-Poisson or quasi-negative binomial models.

Regression of Network Responses (netregR)
Regress network responses (both directed and undirected) onto covariates of interest that may be actor-, relation-, or network-valued. In addition, compute principled variance estimates of the coefficients assuming that the errors are jointly exchangeable. Missing data is accommodated. Additionally implements building and inversion of covariance matrices under joint exchangeability, and generates random covariance matrices of this class. For more detail on methods, see Marrs (2017) <arXiv:1701.05530>.