R: Forecasting Models for Intermittent Time Series

# Forecasting Models for Intermittent Time Series

## Documentation for package ‘fable.intermittent’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

auto | Automotive Spare Parts Demand Dataset
BETANBB | Beta-Negative Binomial Bayesian Dynamic Model
dist_tweedie | Tweedie Distribution
dtweedie | Tweedie Distribution Functions
EMPDISTR | Empirical Distribution Resampling
fitted.BETANBB | Extract fitted values from a BETANBB model
fitted.EMPDISTR | Extract fitted values from an EMPDISTR model
fitted.GAMPOISB | Extract fitted values from a GAMPOISB model
fitted.HSPES | Extract fitted values from a HSPES model
fitted.MARWAL | Extract fitted values from a MARWAL model
fitted.NEGBINES | Extract fitted values from a NEGBINES model
fitted.STATICDISTR | Extract fitted values from a STATICDISTR model
fitted.TWEES | Extract fitted values from a TWEES model
fitted.VZ | Extract fitted values from a VZ model
fitted.WSS | Extract fitted values from a WSS model
forecast.BETANBB | Forecast a BETANBB model
forecast.EMPDISTR | Forecast an EMPDISTR model
forecast.GAMPOISB | Forecast a GAMPOISB model
forecast.HSPES | Forecast a HSPES model
forecast.MARWAL | Forecast a MARWAL model
forecast.NEGBINES | Forecast a NEGBINES model
forecast.STATICDISTR | Forecast a STATICDISTR model
forecast.TWEES | Forecast a TWEES model
forecast.VZ | Forecast a VZ model
forecast.WSS | Forecast a WSS model
GAMPOISB | Gamma-Poisson Bayesian Dynamic Model
generate.BETANBB | Generate sample paths from a BETANBB model
generate.EMPDISTR | Generate sample paths from an EMPDISTR model
generate.GAMPOISB | Generate sample paths from a GAMPOISB model
generate.HSPES | Generate sample paths from a HSPES model
generate.MARWAL | Generate sample paths from a MARWAL model
generate.NEGBINES | Generate sample paths from a NEGBINES model
generate.STATICDISTR | Generate sample paths from a STATICDISTR model
generate.TWEES | Generate sample paths from a TWEES model
generate.VZ | Generate sample paths from a VZ model
generate.WSS | Generate sample paths from a WSS model
HSPES | Hurdle-Shifted Poisson Exponential Smoothing
MARWAL | Markov Chain Model with Random Walk dynamic
model_sum.BETANBB | Return model name
model_sum.EMPDISTR | Return model name
model_sum.GAMPOISB | Return model name
model_sum.HSPES | Return model name
model_sum.MARWAL | Return model name
model_sum.NEGBINES | Return model name
model_sum.STATICDISTR | Return model name
model_sum.TWEES | Return model name
model_sum.VZ | Return model name
model_sum.WSS | Return model name
NEGBINES | Negative Binomial Exponential Smoothing
ptweedie | Tweedie Distribution Functions
qtweedie | Tweedie Distribution Functions
raf | RAF Spare Parts Demand Dataset
residuals.BETANBB | Extract residuals from a BETANBB model
residuals.EMPDISTR | Extract residuals from an EMPDISTR model
residuals.GAMPOISB | Extract residuals from a GAMPOISB model
residuals.HSPES | Extract residuals from a HSPES model
residuals.MARWAL | Extract residuals from a MARWAL model
residuals.NEGBINES | Extract residuals from a NEGBINES model
residuals.STATICDISTR | Extract residuals from a STATICDISTR model
residuals.TWEES | Extract residuals from a TWEES model
residuals.VZ | Extract residuals from a VZ model
residuals.WSS | Extract residuals from a WSS model
rtweedie | Tweedie Distribution Functions
STATICDISTR | Static Count Distribution Model
tweedie | Tweedie Distribution Functions
TWEES | Tweedie Exponential Smoothing
VZ | Viswanathan-Zhou Bootstrap Method
WSS | Willemain-Smart-Schwarz Bootstrap Method