Multivariate Time Series Library
For each package there is a Users' Guide is available
in doc/*-guide.pdf and also at 'http://www.bank-banque-canada.ca/pgilbert'
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.
Package tframe is a kernal of methods for program with time series.
Package setRNG has a mechanism for generating the same random
numbers in S and R.
See also the related bundle dseplus.

Multivariate Time Series Library
For each package there is a Users' Guide is available
in doc/*-guide.pdf and also at 'http://www.bank-banque-canada.ca/pgilbert'
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.
Package tframe is a kernel of methods for programming with time series.
Package setRNG has a mechanism for generating the same random
numbers in S and R.
See also the related bundle dseplus.

Multivariate Time Series Library
For each package there is a Users' Guide is available
in doc/*-guide.pdf and also at http://www.bank-banque-canada.ca/pgilbert
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.
Package tframe is a kernel of methods for programming with time series.
These packages require the package setRNG.
See also the related bundle dseplus.

Multivariate Time Series Library
For each package there is a section of the Users' Guide
is 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.
Package tframe is a kernel of methods for programming with time series.
These packages require the package setRNG.
See also the related bundle dseplus.