ZIHINAR1: Zero-Inflated and Hurdle INAR(1) Models
Provides tools for estimating Zero-Inflated INAR(1)
(ZI-INAR(1)) and Hurdle INAR(1) (H-INAR(1)) models using 'Stan'.
It allows users to simulate time series data for these models,
estimate parameters, and evaluate model fit using various criteria.
Functions include model estimation, simulation, and likelihood-based metrics.
The zero-inflated and hurdle INAR(1) methods are described by Yang et al.
(2025) <doi:10.1214/25-BJPS646>. Zero-inflated models also support
Conway-Maxwell-Poisson innovations.
| Version: |
0.3.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
rstan, VGAM, actuar, matrixStats, coda, ggplot2, gridExtra, stats, knitr, utils, HMMpa, COMPoissonReg |
| Suggests: |
testthat (≥ 3.0.0), rmarkdown |
| Published: |
2026-11-10 |
| DOI: |
10.32614/CRAN.package.ZIHINAR1 |
| Author: |
Fusheng Yang [aut, cre],
Victor Hugo Lachos Davila [aut],
Alokesh Manna [aut],
Dipak K. Dey [aut] |
| Maintainer: |
Fusheng Yang <fusheng.yang at uconn.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
ZIHINAR1 results |
Documentation:
Downloads:
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