R: Zero-Inflated Models for Count Time Series with Excess Zeros

# Zero-Inflated Models for Count Time Series with Excess Zeros

## Documentation for package ‘ZIM’ version 1.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

ZIM-package | Zero-Inflated Models for Count Time Series with Excess Zeros
bshift | Backshift Operator Apply the backshift operator or lag operator to a time series objective.
dzim | Fitting Dynamic Zero-Inflated Models
dzim.control | Auxiliary for Controlling DZIM Fitting
dzim.filter | Particle Filtering for DZIM
dzim.fit | Fitter Function for Dynamic Zero-Inflated Models
dzim.plot | Trace Plots from DZIM
dzim.sim | Simulate Data from DZIM
dzim.smooth | Particle Smoothing for DZIM
dzinb | The Zero-Inflated Negative Binomial Distribution
dzip | The Zero-Inflated Poisson Distribution
injury | Example: Injury Series from Occupational Health
pvalue | Function to Compute P-value.
pzinb | The Zero-Inflated Negative Binomial Distribution
pzip | The Zero-Inflated Poisson Distribution
qzinb | The Zero-Inflated Negative Binomial Distribution
qzip | The Zero-Inflated Poisson Distribution
rzinb | The Zero-Inflated Negative Binomial Distribution
rzip | The Zero-Inflated Poisson Distribution
syph | Example: Syphilis Series
ZIM | Zero-Inflated Models for Count Time Series with Excess Zeros
zim | Fitting Zero-Inflated Models
zim.control | Auxiliary for Controlling ZIM Fitting
zim.fit | Fitter Function for Zero-Inflated Models
ZINB | The Zero-Inflated Negative Binomial Distribution
ZIP | The Zero-Inflated Poisson Distribution