Simulates ZINAR(1) Model and Estimates Its Parameters Under
Frequentist Approach
c(person(given = "Aldo M.",
family = "Garay",
role = c("aut"),
email = "agaray@de.ufpe.br"),
person(given = "João Vitor",
family = "Ribeiro",
role = c("aut","cre"),
email = "joao.vitorribeiro@ufpe.br"))
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>.
gamlss.dist, VGAM, MASS, statmod, gtools, graphics, stats,
scales
Aldo M. Garay [aut],
João Vitor Ribeiro [aut, cre]

Simulate INAR/ZINAR(p) Models and Estimate Its Parameters
c(person(given = 'Aldo William', family = 'Medina Garay', email = 'aldo.garay@ufpe.br', role = 'aut'),
person(given = 'Francyelle', family = 'de Lima Medina', email = 'francyelle.medina@ufpe.br', role = 'aut'),
person(given = 'Tharso Augustus', family = 'Rossiter Araújo Monteiro', email = 'tharso.augustus@ufpe.br', role = c('aut','cre')))
Tharso Augustus Rossiter Araújo Monteiro <tharso.augustus@ufpe.br>
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>.
Aldo William Medina Garay [aut],
Francyelle de Lima Medina [aut],
Tharso Augustus Rossiter Araújo Monteiro [aut, cre]

Bayesian Methods in the Analysis of Zero-Inflated Poisson Model
c(person("Qihuang", "Zhang", role = c("aut", "cre","cph"),
email = "qihuang.zhang@uwaterloo.ca"),
person("Grace Y.", "Yi", role = c("aut","ths")) )
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.
Qihuang Zhang [aut, cre, cph],
Grace Y. Yi [aut, ths]