(Semi)Parametric Estimation and Bootstrapping of INAR Models R package spINAR version 0.2.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Semiparametric and parametric estimation of INAR models including a finite sample refinement (Faymonville et al. (2022) <doi:10.1007/s10260-022-00655-0>) for the semiparametric setting introduced in Drost et al. (2009) <doi:10.1111/j.1467-9868.2008.00687.x>, different procedures to bootstrap INAR data (Jentsch, C. and Weiß, C.H. (2017) <doi:10.3150/18-BEJ1057>) and flexible simulation of INAR data. Software Depends: R (>= 3.6.0) Imports: checkmate (>= 1.8.5), progress, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Maxime Faymonville <faymonville@statistik.tu-dortmund.de> Comprehensive R Archive Network (CRAN) Maxime Faymonville [aut, cre] (ORCID: <https://orcid.org/0000-0001-5565-0711>), Javiera Riffo [aut] (ORCID: <https://orcid.org/0000-0002-5372-7196>), Jonas Rieger [aut] (ORCID: <https://orcid.org/0000-0002-0007-4478>), Carsten Jentsch [aut] (ORCID: <https://orcid.org/0000-0001-7824-1697>), Christian H. Weiß [ctb] (ORCID: <https://orcid.org/0000-0001-8739-6631>) GPL (>= 3) 2024-04-08 application/tgz https://CRAN.R-project.org/package=spINAR doi:10.32614/CRAN.package.spINAR