Title: Simulate INAR/ZINAR(p) Models and Estimate Its Parameters
Authors@R: 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')))
Maintainer: Tharso Augustus Rossiter Araújo Monteiro <tharso.augustus@ufpe.br>
Description: 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>.
Imports: progress, stats, utils, graphics
Author: Aldo William Medina Garay [aut],
Tharso Augustus Rossiter Araújo Monteiro [aut, cre]

Title: Bayesian Methods in the Analysis of Zero-Inflated Poisson Model
Authors@R: c(person("Qihuang", "Zhang", role = c("aut", "cre","cph"),
person("Grace Y.", "Yi", role = c("aut","ths")) )
Description: 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.

Title: Zero Inflated Poisson Factor Analysis
Description: 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.
Imports: Matrix, doParallel, foreach, optimx, trustOptim

Title: Permutations Tests and Performance Indicator for Zero-Inflated
Description: Permutations tests to identify factor correlated to zero-inflated proportions response. Provide a performance indicator based on Spearman correlation to quantify the part of correlation explained by the selected set of factors. See details for the method at the following preprint e.g.: <https://hal.archives-ouvertes.fr/hal-02936779v3>.
Depends: R (>= 3.5.0), rgenoud, purrr, data.table, parallel
Packaged: 2021-04-07 15:54:51 UTC; melinaribaud