Provides a maximum likelihood estimation of Bivariate Zero-Inflated Negative Binomial (BZINB) model or the nested model parameters. Also estimates the underlying correlation of the a pair of count data. See Cho, H., Preisser, J., Liu, C., and Wu, D. (In preparation) for details.
Bivariate Zero-Inflated Negative Binomial Model Estimation
This package is based on a draft paper ``A Bivariate Zero-Inflated Negative Binomial Model For Identifying Underlying Dependence" (Hunyong Cho, John Preisser, Chuwen Liu & Di Wu 2019+ (In preparation)).
See the following toy example for fun.
library(bzinb) # generating n x 2 matrix (two vectors)set.seed(2)data1 <- rbzinb(n = 20, a0 = 1, a1 = 2, a2 = 1, b1 = 1, b2 = 1, p1 = 0.5, p2 = 0.2, p3 = 0.2, p4 = 0.1) # getting the underlying correlation (rho) through maximum likelihood estimate.bzinb(xvec = data1[,1], yvec = data1[,2], showFlag = F) # generating (additional two vectors)set.seed(3)data2 <- rbzinb(n = 20, a0 = 2, a1 = 1, a2 = 1, b1 = 1, b2 = 1, p1 = 0.5, p2 = 0.2, p3 = 0.2, p4 = 0.1)data3 <- t(cbind(data1, data2))pairwise.bzinb(data3, showFlag = TRUE)