Implementation of the MLE for negative binomial regression with interfered responses: one observes \(\max(y_i,z_i)\), where \(y_i\) is the negative binomial response and \(z_i\) is a Poisson random variable with mean \(\lambda\).
glm_negbin(y, x, lambda, maxit = 50L, epsilon = 1e-07, trace = FALSE)
response vector
design matrix
mean parameter for Poisson censoring process
maximum number of iteration
tolerance parameter
boolean for printing information