person("Sean", "Haythorne", email = "sean.haythorne@unimelb.edu.au", role = c("aut", "cre")),

Title: Bayesian Variable Selection for a Poisson-Logistic Model
Authors@R: c(person("Michaela", "Dvorzak", role = c("aut","cre"),
person("Helga", "Wagner", role = "aut"))
Author: Michaela Dvorzak [aut, cre], Helga Wagner [aut]
Description: Bayesian variable selection for regression models of under-reported
count data as well as for Poisson and binomial logit regression models using
Imports: BayesLogit, ggplot2, logistf, plyr

Imports: BayesLogit, ggplot2, logistf, plyr, stats, utils, grDevices

count data as well as for (overdispersed) Poisson, negative binomal and
binomial logit regression models using spike and slab priors.

Imports: ggplot2, logistf, plyr, stats, utils, grDevices

Title: The Poisson Binomial Distribution
Description: This package implements both the exact and approximation
methods for computing the cdf of the Poisson binomial
distribution. It also provides the pmf, quantile function, and
random number generation for the Poisson binomial distribution.

Description: Implementation of both the exact and approximation methods for computing the cdf of the Poisson binomial distribution. It also provides the pmf, quantile function, and random number generation for the Poisson binomial distribution.

Description: Implementation of both the exact and approximation methods for computing the cdf of the Poisson binomial distribution. It also provides the pmf, quantile function, and random number generation for the Poisson binomial distribution. We would like to acknowledge that the C code for FFT is adopted from R distribution (fft.c, by Ross Ihaka from University of Auckland, dated February 1997).

Authors@R: c(person("Yili", "Hong", role = c("aut", "cre"),email = "yilihong@vt.edu"),person("", "R Core Team", role = c("aut", "cph")))
Description: Implementation of both the exact and approximation methods for computing the cdf of the Poisson binomial distribution as described in Hong (2013) <doi: 10.1016/j.csda.2012.10.006>. It also provides the pmf, quantile function, and random number generation for the Poisson binomial distribution. The C code for fast Fourier transformation (FFT) is written by R Core Team (2019)<https://www.R-project.org/>, which implements the FFT algorithm in Singleton (1969) <doi: 10.1109/TAU.1969.1162042>.