Package: coconots
Type: Package
Title: Convolution-Closed Models for Count Time Series
Version: 2.0.3
Date: 2026-06-14
Authors@R: c(
    person(given = "Manuel",
           family = "Huth",
           role = c("aut", "cre"),
           email = "manuel.huth@yahoo.com"),
    person(given = "Robert C.",
           family = "Jung",
           role = "aut"),
    person(given = "Andy",
           family = "Tremayne",
           role =  "aut"
           ))
Description: 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
        modelled via Poisson and Generalized Poisson innovations.
        Regression effects can be incorporated through 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> and, Tsay (1992)
        <doi:10.2307/2347612>.
URL: https://github.com/manuhuth/coconots,
        https://manuhuth.github.io/coconots/
BugReports: https://github.com/manuhuth/coconots/issues
LazyData: true
LinkingTo: Rcpp
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.0.2)
Imports: forecast, numDeriv, HMMpa, ggplot2, matrixStats,
        JuliaConnectoR, parallel, Rcpp, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/Needs/website: pkgdown
License: MIT + file LICENSE
Repository: https://manuhuth.r-universe.dev
Date/Publication: 2026-07-02 15:00:24 UTC
RemoteUrl: https://github.com/manuhuth/coconots
RemoteRef: HEAD
RemoteSha: 67db28e2ffc447763e0481cd5c3b238c247530e6
NeedsCompilation: yes
Packaged: 2026-07-02 15:17:01 UTC; root
Author: Manuel Huth [aut, cre],
  Robert C. Jung [aut],
  Andy Tremayne [aut]
Maintainer: Manuel Huth <manuel.huth@yahoo.com>