sspir: State Space Models in R

A glm-like formula language to define dynamic generalized linear models (state space models). Includes functions for Kalman filtering and smoothing. Estimation of variance matrices can be performed using the EM algorithm in case of Gaussian models. Read help(sspir) to get started.

Version: 0.2.10
Depends: R (≥ 2.15.1), MASS, mvtnorm, KFAS, Matrix
Published: 2012-08-02
Author: Claus Dethlefsen, \enc{Søren}{Soren} Lundbye-Christensen and Anette Luther Christensen
Maintainer: Claus Dethlefsen <cld at rn.dk>
License: GPL (≥ 2)
NeedsCompilation: no
CRAN checks: sspir results

Downloads:

Package source: sspir_0.2.10.tar.gz
MacOS X binary: sspir_0.2.10.tgz
Windows binary: sspir_0.2.10.zip
Reference manual: sspir.pdf
Old sources: sspir archive

Reverse dependencies:

Reverse depends: Peak2Trough