Gene‐based association tests to model count data with excessive zeros and rare variants using zero-inflated Poisson/zero-inflated negative Binomial regression framework. This method was originally described by Fan, Sun, and Li in Genetic Epidemiology 46(1):73-86 <doi:10.1002/gepi.22438>.

Generates Realizations of First-Order Integer Valued Autoregressive Processes with Zero-Inflated Innovations (ZINAR(1)) and Estimates its Parameters as described in Garay et al. (2021) <doi:10.1007/978-3-030-82110-4_2>.

Simulation, exploratory data analysis and Bayesian analysis of the p-order Integer-valued Autoregressive (INAR(p)) and Zero-inflated p-order Integer-valued Autoregressive (ZINAR(p)) processes, as described in Garay et al. (2020) <doi:10.1080/00949655.2020.1754819>.

Cross-Platform 'zip' Compression Library. A replacement for
    the 'zip' function, that does not require any additional external
    tools on any platform.

Implementation of zero-inflated Poisson models under Bayesian framework using data augmentation as discussed in Chapter 5 of Zhang (2020) <https://hdl.handle.net/10012/16378>. This package is constructed in accommodating four different scenarios: the general scenario, the scenario with measurement error in responses, the external validation scenario, and the internal validation scenario.

Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. 
             Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating
             ZIP codes to Census data, geocoding & distance calculations.

Estimation methods for zero-inflated Poisson factor analysis (ZIPFA) on sparse data. 
    It provides estimates of coefficients in a new type of zero-inflated regression. 
    It provides a cross-validation method to determine the potential rank of the data in the ZIPFA 
    and conducts zero-inflated Poisson factor analysis based on the determined rank.