For each package there is a section of the Users' Guide
is available in doc/*.pdf and these are combined in
Packaged: Wed Apr 27 09:34:03 2005; paul

Packaged: Thu Jun 23 22:29:05 2005; paul

See also the related bundle dseplus (in the devel are of CRAN).
Packaged: Fri Sep  9 06:50:11 2005; paul

Packaged: Tue Jan 10 22:35:21 2006; paul

Packaged: Tue Oct  3 14:31:48 2006; paul

Packaged: Mon Apr 17 20:03:46 2006; paul

available in doc/*.pdf and these are combined in
These packages require the packages setRNG and tframe.
Packaged: Fri Nov 30 10:07:18 2007; gilp

Packaged: Tue May  8 08:10:40 2007; paul

Packaged: Fri May 11 12:20:59 2007; gilp

Packaged: Fri Jul 13 07:35:21 2007; hornik

Packaged: Fri Oct 17 09:44:22 2008; gilp

Title: Dynamic Systems Estimation (time series package)
Description: Multivariate Time Series - ARMA and State Space models.

Description: Package dse provides tools for multivariate, linear,
time-invariant, time series models. It includes ARMA and
state-space representations, and methods for converting between
them. It also includes simulation methods and several
estimation functions. The package has functions for looking at
model roots, stability, and forecasts at different horizons.
The ARMA model representaion is general, so that VAR, VARX,
ARIMA, ARMAX, ARIMAX can all be considered to be special cases.
Kalman filter and smoother estimates can be obtained from the
state space model, and state-space model reduction techniques
are implemented. An introduction and User's Guide is available

BundleDescription: Multivariate Time Series Library For each package
there is a section of the Users' Guide available in doc/*.pdf
and these are combined in dse1/doc/dse-guide.pdf. The package
dse1 is the base system, including multivariate ARMA and State
Space models. Package dse2 has extensions for evaluating
estimation techniques, forecasting, and for evaluating
forecasting models. These packages require the packages setRNG

Description: Package dse provides tools for multivariate, linear, time-invariant,
time series models. It includes ARMA and state-space representations,
and methods for converting between them. It also includes simulation
methods and several estimation functions. The package has functions
for looking at model roots, stability, and forecasts at different
horizons. The ARMA model representaion is general, so that VAR, VARX,
ARIMA, ARMAX, ARIMAX can all be considered to be special cases. Kalman
filter and smoother estimates can be obtained from the state space
model, and state-space model reduction techniques are implemented.
An introduction and User's Guide is available in a vignette.