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 WeiÃ, C.H. (2017) <doi:10.3150/18-BEJ1057>) and flexible simulation of INAR data.
Version: 0.2.0 Depends: R (≥ 3.6.0) Imports: checkmate (≥ 1.8.5), progress, stats Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-04-08 DOI: 10.32614/CRAN.package.spINAR Author: Maxime Faymonville [aut, cre], Javiera Riffo [aut], Jonas Rieger [aut], Carsten Jentsch [aut], Christian H. Weià [ctb] Maintainer: Maxime Faymonville <faymonville at statistik.tu-dortmund.de> BugReports: https://github.com/MFaymon/spINAR/issues License: GPL (≥ 3) URL: https://github.com/MFaymon/spINAR NeedsCompilation: no Citation: spINAR citation info Materials: README In views: TimeSeries CRAN checks: spINAR results Documentation: Reference manual: spINAR.pdf Vignettes: Replication of results from the literature using the spINAR packagePlease use the canonical form https://CRAN.R-project.org/package=spINAR to link to this page.
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