R: Convolution-Closed Models for Count Time Series

# Convolution-Closed Models for Count Time Series

## Documentation for package ‘coconots’ version 1.1.3

- DESCRIPTION file.

## Help Pages

coconots-package | Concolution-closed Models for Time Series
cocoBoot | Bootstrap Based Model Assessment Procedure
cocoPit | Probability Integral Transform Based Model Assessment Procedure
cocoReg | cocoReg
cocoResid | Residual Based Model Assessment Procedure
cocoScore | Scoring Rule Based Model Assessment Procedure
cocoSim | Simulation of Count Time Series
Concolution-closed Models for Count Time Series | Concolution-closed Models for Time Series
cuts | Time Series of Monthly Counts of Claimants Collecting Wage Loss Benefit for Injuries in the Workplace
downloads | Time Series of Daily Downloads of a TeX-Editor
goldparticle | Time Series of Gold particles Counts in a well-efined Colloidal Solution
installJuliaPackages | installJuliaPackages
predict.coco | K-Step Ahead Forecast Bootstrapping
setJuliaSeed | Set Seed for Julia's Random Number Generator