Suggests: latticist, zoo, MASS, ggplot2, sp

Imports: RGtk2 (>= 2.20.1), gWidgets (>= 0.0-30), gridBase, grDevices,
Packaged: 2010-11-09 12:46:41 UTC; Felix Andrews

Package: playwith
Type: Package
Title: A GUI for interactive plots using GTK+
Version: 0.9-7
Date: 2008-07-15
Author: Felix Andrews <felix@nfrac.org>
Maintainer: Felix Andrews <felix@nfrac.org>
Depends: R (>= 2.5.0), lattice (>= 0.16), grid, gWidgets, gWidgetsRGtk2, cairoDevice
Imports: RGtk2 (>= 2.10.11), gridBase, graphics, grDevices, utils
Suggests: latticeExtra, zoo
Description: A GTK+ graphical user interface for viewing and interacting with R plots.
It tries to work out the structure of a plot, in order to interact with it.
The built-in features include: zooming the data space, identifying data points,
editing and annotating the plot, and saving to a file. New tools can be defined.
Also includes latticist, a lattice-based tool for exploratory visualisation.
License: GPL (>= 2)
URL: http://playwith.googlecode.com/
Packaged: Tue Jul 15 18:17:31 2008; felix

Package: playwith
Type: Package
Title: A GUI for interactive plots using GTK+
Version: 0.9-8
Date: 2008-07-16
Author: Felix Andrews <felix@nfrac.org>
Maintainer: Felix Andrews <felix@nfrac.org>
Depends: R (>= 2.5.0), lattice (>= 0.16), grid, gWidgets, gWidgetsRGtk2, cairoDevice
Imports: RGtk2 (>= 2.10.11), gridBase, graphics, grDevices, utils
Suggests: latticeExtra, zoo
Description: A GTK+ graphical user interface for viewing and interacting with R plots.
It tries to work out the structure of a plot, in order to interact with it.
The built-in features include: zooming the data space, identifying data points,
editing and annotating the plot, and saving to a file. New tools can be defined.
Also includes latticist, a lattice-based tool for exploratory visualisation.
License: GPL (>= 2)
URL: http://playwith.googlecode.com/
Packaged: Thu Jul 17 18:16:01 2008; Felix

Title: Penalized Log-Density Estimation Using Legendre Polynomials
Author: JungJun Lee, Jae-Hwan Jhong, Young-Rae Cho, SungHwan Kim, Ja-yong Koo
Description: We present a penalized log-density estimation method using Legendre polynomials with lasso penalty to adjust estimate's smoothness. Re-expressing the logarithm of the density estimator via a linear combination of Legendre polynomials, we can estimate parameters by maximizing the penalized log-likelihood function. Besides, we proposed an implementation strategy that builds on the coordinate decent algorithm, together with the Bayesian information criterion (BIC).