Package: fRegression
Version: 270.73
Date: 1997 - 2008
Title: Regression Based Decision and Prediction
Author: Diethelm Wuertz and many others, see the SOURCE file
Depends: R (>= 2.4.0), methods, mgcv, nnet, polspline, fBasics, fTrading, fMultivar
Maintainer: Rmetrics Core Team <Rmetrics-core@r-project.org>
Description: Environment for teaching "Financial Engineering and Computational Finance"
NOTE: SEVERAL PARTS ARE STILL PRELIMINARY AND MAY BE CHANGED IN THE FUTURE.
THIS TYPICALLY INCLUDES FUNCTION AND ARGUMENT NAMES,
AS WELL AS DEFAULTS FOR ARGUMENTS AND RETURN VALUES.
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
Packaged: Thu Oct 23 10:16:20 2008; yankee

Package: fRegression
Version: 270.74
Date: 1997 - 2008
Title: Regression Based Decision and Prediction
Author: Diethelm Wuertz and many others, see the SOURCE file
Depends: R (>= 2.4.0), methods, mgcv, nnet, polspline, fBasics, fTrading, fMultivar
Maintainer: Rmetrics Core Team <Rmetrics-core@r-project.org>
Description: Environment for teaching "Financial Engineering and Computational Finance"
NOTE: SEVERAL PARTS ARE STILL PRELIMINARY AND MAY BE CHANGED IN THE FUTURE.
THIS TYPICALLY INCLUDES FUNCTION AND ARGUMENT NAMES,
AS WELL AS DEFAULTS FOR ARGUMENTS AND RETURN VALUES.
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
Packaged: Mon Oct 27 15:25:15 2008; yankee

Depends: R (>= 2.4.0), fBasics, fTrading, fMultivar, nnet, mgcv

Depends: R (>= 2.4.0), fBasics, fTrading, fMultivar, mgcv, nnet
Imports: methods, polspline, lmtest, MASS

Description: A collection of functions for linear and non-linear regression modelling.
It implements a wrapper for several regression models available in the base and
Imports: lmtest, mgcv, nnet, polspline, methods, stats, utils
Packaged: 2017-11-15 19:17:36 UTC; Tobias Setz

Description: A collection of functions for linear and non-linear regression
modelling. It implements a wrapper for several regression models available
in the base and contributed packages of R.
Imports: fBasics, lmtest, MASS, methods, mgcv, nnet, polspline, stats,