R: Convolution-Closed Models for Count Time Series

# Convolution-Closed Models for Count Time Series

## Documentation for package ‘coconots’ version 2.0.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

cocoBoot | Bootstrap Based Model Assessment Procedure
cocoPit | Probability Integral Transform Based Model Assessment Procedure
cocoReg | Fitting First- and Second Order (G)PAR Models
cocoResid | Residual Based Model Assessment Procedure
cocoScore | Scoring Rule Based Model Assessment Procedure
cocoSim | Simulation of Count Time Series
cocoSoc | Computes Scores for Various Models Maintaining a Common Sample
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
installJuliaPackages | installJuliaPackages
predict.coco | K-Step Ahead Forecast Distributions
setJuliaSeed | Set Seed for julia's Random Number Generator