Negative Binomial and Beta Binomial Bayesian Regression Models
Edilberto Cepeda-Cuervo, Maria Victoria Cifuentes-Amado and Margarita Marin
The Negative Binomial regression with mean and shape modeling and mean and variance modeling and Beta Binomial regression with mean and dispersion modeling.

Estimation of Vaccine Efficacy using Negative Control Outcomes
c(person("Lola", "Etievant", role="aut", email="lola.etievant@nih.gov"),
person(c("Mitchell", "H."), "Gail", role="aut", email="gailm@exchange.nih.gov"),
person(c("Joshua", "N."), "Sampson", role="aut", email="joshua.sampson@fda.hhs.gov"),
person("Bill", "Wheeler", role="cre", email="wheelerb@imsweb.com"))
Methods to reduce confounding bias from unmeasured confounders in observational studies of vaccine efficacy using negative control outcomes.
Lola Etievant [aut],
Mitchell H. Gail [aut],
Joshua N. Sampson [aut],
Bill Wheeler [cre]

Mamadou Yauck [aut, cre], Erica E. M. Moodie [aut]
A bootstrap method for Respondent-Driven Sampling (RDS) that relies on the underlying structure of the RDS network to estimate uncertainty.
magrittr, RDStreeboot, igraph, RDS, dplyr

Implementation of the Nemenyi post-hoc test to find the groups
of data that differ after a statistical test of multiple
comparisons, e.g. Friedman test. Reference: Japkowicz/Shah
(2011), Evaluating Learning Algorithms. Pages 255 ff.
Takes a matrix with performance measures for multiple entities (columns) over multiple domains (rows). Calculates Friedman-like ranks of the entities per domain. Sums the ranks of each classifier over all domains. Calculates the pairwise difference between the summed ranks, representing the Nemenyi-value. Looks up the corresponding p-value from the studentized range (q)-distribution.

Takes a matrix with samples (rows) for multiple groups (columns). Calculates Friedman-like ranks of the groups per row. Sums the ranks of each group over all samples. Calculates the pairwise difference between the summed ranks, representing the Nemenyi-value. Looks up the corresponding p-value from the studentized range (q)-distribution.