Skip to content

Autoregressive Moving Average Models. Estimation, filtering, prediction, simulation and diagnostics.

Notifications You must be signed in to change notification settings

tsmodels/tsarma

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

R-CMD-check Last-changedate packageversion CRAN_Status_Badge

tsarma

The tsarma package implements methods for the maximum likelihood estimation of ARMA(p,q)-X models for stationary time series, backed by autodiff (using TMB package). It includes methods for inference, filtering, prediction, simulation and backtesting.

It makes use of the tsmodels framework, providing common methods with similar inputs and classes with similar outputs.

The package vignette is available in the new tsmodels site here.

About

Autoregressive Moving Average Models. Estimation, filtering, prediction, simulation and diagnostics.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published