The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ZINARp: Simulate INAR/ZINAR(p) Models and Estimate Its Parameters

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>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: progress, stats, utils, graphics
Published: 2022-05-09
Author: Aldo William Medina Garay [aut], Francyelle de Lima Medina [aut], Tharso Augustus Rossiter Araújo Monteiro [aut, cre]
Maintainer: Tharso Augustus Rossiter Araújo Monteiro <tharso.augustus at ufpe.br>
License: GPL (≥ 3.0)
NeedsCompilation: no
In views: TimeSeries
CRAN checks: ZINARp results

Documentation:

Reference manual: ZINARp.pdf

Downloads:

Package source: ZINARp_0.1.0.tar.gz
Windows binaries: r-devel: ZINARp_0.1.0.zip, r-release: ZINARp_0.1.0.zip, r-oldrel: ZINARp_0.1.0.zip
macOS binaries: r-release (arm64): ZINARp_0.1.0.tgz, r-oldrel (arm64): ZINARp_0.1.0.tgz, r-release (x86_64): ZINARp_0.1.0.tgz, r-oldrel (x86_64): ZINARp_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ZINARp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.