The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modeled via Poisson and Generalized Poisson innovations. Regression effects can be modelled via time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x>, Gneiting and Raftery (2007) <doi:10.1198/016214506000001437> and, Tsay (1992) <doi:10.2307/2347612>.
| Version: | 1.1.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp, forecast, numDeriv, HMMpa, stats, ggplot2, utils, matrixStats, JuliaConnectoR |
| LinkingTo: | Rcpp, StanHeaders (≥ 2.21.0), RcppParallel (≥ 5.0.1) |
| Suggests: | covr, testthat (≥ 3.0.0) |
| Published: | 2023-10-01 |
| DOI: | 10.32614/CRAN.package.coconots |
| Author: | Manuel Huth [aut, cre], Robert C. Jung [aut], Andy Tremayne [aut] |
| Maintainer: | Manuel Huth <manuel.huth at yahoo.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | TimeSeries |
| CRAN checks: | coconots results |
| Reference manual: | coconots.pdf |
| Package source: | coconots_1.1.3.tar.gz |
| Windows binaries: | r-devel: coconots_1.1.3.zip, r-release: coconots_1.1.3.zip, r-oldrel: coconots_1.1.3.zip |
| macOS binaries: | r-release (arm64): coconots_1.1.3.tgz, r-oldrel (arm64): coconots_1.1.3.tgz, r-release (x86_64): coconots_1.1.3.tgz, r-oldrel (x86_64): coconots_1.1.3.tgz |
| Old sources: | coconots archive |
Please use the canonical form https://CRAN.R-project.org/package=coconots 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.