KFAS: Kalman Filter and Smoother for Exponential Family State Space Models

Package KFAS provides functions for Kalman filtering, smoothing, forecasting and simulation of Gaussian, Poisson and Binomial state space models with exact diffuse initialization when distributions of some or all elements of initial state vector are unknown.

Version: 0.9.11
Depends: R (≥ 2.15.0)
Published: 2012-07-09
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske at jyu.fi>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: TimeSeries
CRAN checks: KFAS results

Downloads:

Package source: KFAS_0.9.11.tar.gz
MacOS X binary: KFAS_0.9.11.tgz
Windows binary: KFAS_0.9.11.zip
Reference manual: KFAS.pdf
Old sources: KFAS archive

Reverse dependencies:

Reverse depends: MARSS, networkTomography, Peak2Trough, sspir
Reverse suggests: dlmodeler