Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package

Published: Jan 1, 2019
Abstract
A new alternative to the standard Poisson regression model for count data is suggested. This new family of models is based on discrete distributions derived from renewal processes, i.e., distributions of the number of events by some time t. Unlike the Poisson model, these models have, in general, time-dependent hazard functions. Any survival distribution can be used to describe the inter-arrival times between events, which gives a rich class of...
Paper Details
Title
Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package
Published Date
Jan 1, 2019
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