Package: coconots 2.0.3

coconots: Convolution-Closed Models for Count Time Series

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>.

Authors:Manuel Huth [aut, cre], Robert C. Jung [aut], Andy Tremayne [aut]

coconots_2.0.3.tar.gz
coconots_2.0.3.zip(r-4.7)coconots_2.0.3.zip(r-4.6)coconots_2.0.3.zip(r-4.5)
coconots_2.0.3.tgz(r-4.6-x86_64)coconots_2.0.3.tgz(r-4.6-arm64)coconots_2.0.3.tgz(r-4.5-x86_64)coconots_2.0.3.tgz(r-4.5-arm64)
coconots_2.0.3.tar.gz(r-4.7-arm64)coconots_2.0.3.tar.gz(r-4.7-x86_64)coconots_2.0.3.tar.gz(r-4.6-arm64)coconots_2.0.3.tar.gz(r-4.6-x86_64)
coconots_2.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
coconots/json (API)

# Install 'coconots' in R:
install.packages('coconots', repos = c('https://manuhuth.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/manuhuth/coconots/issues

Pkgdown/docs site:https://manuhuth.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • cuts - Time Series of Monthly Counts of Claimants Collecting Wage Loss Benefit
  • downloads - Time Series of Daily Downloads of a TeX-Editor
  • goldparticle - Time Series of Gold Particle Counts in a Well-Defined Colloidal Solution

On CRAN:

Conda:

cpp

4.15 score 4 stars 4 scripts 639 downloads 10 exports 35 dependencies

Last updated from:67db28e2ff. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK167
linux-devel-x86_64OK158
source / vignettesOK184
linux-release-arm64OK152
linux-release-x86_64OK149
macos-release-arm64OK129
macos-release-x86_64OK206
macos-oldrel-arm64OK127
macos-oldrel-x86_64OK264
windows-develOK149
windows-releaseOK164
windows-oldrelOK161
wasm-releaseOK152

Exports:autoplotcocoBootcocoPitcocoRegcocoResidcocoScorecocoSimcocoSocinstallJuliaPackagessetJuliaSeed

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableHMMpaisobandJuliaConnectoRlabelinglatticelifecyclelmtestmagrittrmatrixStatsnlmennetnumDerivR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo