R: Bayesian Exponential Smoothing Models with Trend Modifications

# Bayesian Exponential Smoothing Models with Trend Modifications

## Documentation for package ‘Rlgt’ version 0.2-3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.

## Help Pages

Rlgt-package | Getting started with the Rlgt package
blgt.multi.forecast | Rlgt LSGT Gibbs run in parallel
forecast.rlgtfit | Rlgt forecast
iclaims.example | Weekly Initial Claims of US Unemployment Benefits & Google Trends Queries
initModel | Initialize a model from the Rlgt family
posterior_interval.rlgtfit | rlgtfit posterior interval
print.rlgtfit | Generic print function for rlgtfit models
Rlgt | Getting started with the Rlgt package
rlgt | Fit an Rlgt model
rlgt.control | Sets and initializes the control parameters
rlgtfit | rlgtfit class
summary.rlgt | Generic print function for rlgtfit models
umcsent.example | University of Michigan Monthly Survey of Consumer Sentiment & Google Trends Queries