Package: coconots 2.0.4

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_2.0.4.tar.gz
coconots_2.0.4.zip(r-4.7-x86_64)coconots_2.0.4.zip(r-4.7-arm64)coconots_2.0.4.zip(r-4.6-x86_64)coconots_2.0.4.zip(r-4.6-arm64)coconots_2.0.4.zip(r-4.5-x86_64)
coconots_2.0.4.tgz(r-4.6-x86_64)coconots_2.0.4.tgz(r-4.6-arm64)coconots_2.0.4.tgz(r-4.5-x86_64)coconots_2.0.4.tgz(r-4.5-arm64)
coconots_2.0.4.tar.gz(r-4.7-arm64)coconots_2.0.4.tar.gz(r-4.7-x86_64)coconots_2.0.4.tar.gz(r-4.6-arm64)coconots_2.0.4.tar.gz(r-4.6-x86_64)
coconots_2.0.4.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

4.00 score 4 stars 4 scripts 538 downloads 10 exports 35 dependencies

Last updated from:1d6c855993. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK154
source / vignettesOK230
linux-release-arm64OK133
linux-release-x86_64OK159
macos-release-arm64OK197
macos-release-x86_64OK385
macos-oldrel-arm64OK208
macos-oldrel-x86_64OK490
windows-devel-arm64OK358
windows-devel-x86_64OK189
windows-release-arm64OK432
windows-release-x86_64OK97
windows-oldrel-x86_64OK124
wasm-releaseOK111

Exports:autoplotcocoBootcocoPitcocoRegcocoResidcocoScorecocoSimcocoSocinstallJuliaPackagessetJuliaSeed

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableHMMpaisobandJuliaConnectoRlabelinglatticelifecyclelmtestmagrittrmatrixStatsnlmennetnumDerivR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo