Package: coconots 1.1.3
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 incorprated 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:
coconots_1.1.3.tar.gz
coconots_1.1.3.zip(r-4.5)coconots_1.1.3.zip(r-4.4)coconots_1.1.3.zip(r-4.3)
coconots_1.1.3.tgz(r-4.5-x86_64)coconots_1.1.3.tgz(r-4.5-arm64)coconots_1.1.3.tgz(r-4.4-x86_64)coconots_1.1.3.tgz(r-4.4-arm64)coconots_1.1.3.tgz(r-4.3-x86_64)coconots_1.1.3.tgz(r-4.3-arm64)
coconots_1.1.3.tar.gz(r-4.5-noble)coconots_1.1.3.tar.gz(r-4.4-noble)
coconots_1.1.3.tgz(r-4.4-emscripten)coconots_1.1.3.tgz(r-4.3-emscripten)
coconots.pdf |coconots.html✨
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
- 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
Last updated 8 days agofrom:8c3d19606e. Checks:1 OK, 10 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 13 2025 |
| R-4.5-win-x86_64 | ERROR | Feb 13 2025 |
| R-4.5-mac-x86_64 | ERROR | Feb 13 2025 |
| R-4.5-mac-aarch64 | ERROR | Feb 13 2025 |
| R-4.5-linux-x86_64 | ERROR | Feb 13 2025 |
| R-4.4-win-x86_64 | ERROR | Feb 13 2025 |
| R-4.4-mac-x86_64 | ERROR | Feb 13 2025 |
| R-4.4-mac-aarch64 | ERROR | Feb 13 2025 |
| R-4.3-win-x86_64 | ERROR | Feb 13 2025 |
| R-4.3-mac-x86_64 | ERROR | Feb 13 2025 |
| R-4.3-mac-aarch64 | ERROR | Feb 13 2025 |
Exports:autoplotcocoBootcocoPitcocoRegcocoResidcocoScorecocoSimcocoSim_covcocoSocdGP1installJuliaPackagessetJuliaSeed
Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtableHMMpaisobandjsonliteJuliaConnectoRlabelinglatticelifecyclelmtestmagrittrMASSMatrixmatrixStatsmgcvmunsellnlmennetnumDerivpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo
