Author: Jonathan Harrington and others, IPS LMU Muenchen & IPDS CAU Kiel
Title: Interface to the Emu Speech Database System
Description: Provides an interface to the Emu speech database system and
many special purpose functions for display and analysis of speech
data.
Diff between emu versions 3.1 dated 2008-05-13 and 3.2 dated 2008-05-30
DESCRIPTION | 4 ++-- R/AAoptions.S | 2 +- R/emu.track.S | 6 ++++-- 3 files changed, 7 insertions(+), 5 deletions(-)
Author: Toni Giorgino
Diff between dtw versions 1.5-3 dated 2008-02-22 and 1.6-2 dated 2008-05-30
Title: Dynamic Time Warping algorithms
Description: Comprehensive implementation of Dynamic Time Warping
algorithms in R. DTW finds the optimal (least cumulative distance)
mapping between two time series. This package implements all common
DTW variants, including local and global constraints, arbitrary
timeseries lenghts, distance definitions, etc. Methods provides
cumulative distance, warping functions, plots, etc.
DESCRIPTION | 6 ++---
R/backtrack.R | 10 ++++----
R/dtw.R | 30 +++++++++++++++----------
R/plot.dtw.R | 62 +++++++++++++++++++++++++++++++++++------------------
inst/ChangeLog | 6 ++++-
man/dtw.Rd | 29 ++++++++++++++++++++----
man/stepPattern.Rd | 28 +++++++++++------------
7 files changed, 110 insertions(+), 61 deletions(-)
Author: Jon T. Schnute
Diff between PBSmodelling versions 1.61 dated 2007-10-10 and 1.63 dated 2008-05-30
Title: PBS Modelling
Description: PBS Modelling provides software to facilitate the design,
testing, and operation of computer models. It focuses particularly on
tools that make it easy to construct and edit a customized graphical
user interface (GUI). Although it depends heavily on the R interface
to the Tcl/Tk package, a user does not need to know Tcl/Tk. The
package contains examples that illustrate models built with other R
packages, including PBS Mapping, odesolve, ddesolvem, and BRugs.
It also serves as a convenient prototype for building new R packages,
along with instructions and batch files to facilitate that process.
The R directory '../library/PBSmodelling/doc' includes a complete user
guide PBSmodelling-UG.pdf. To use this package effectively,
please consult the guide.
PBSmodelling-1.61/PBSmodelling/ChangeLog.txt |only
PBSmodelling-1.61/PBSmodelling/inst/PBSmodelling-UG.pdf |only
PBSmodelling-1.61/PBSmodelling/inst/developers |only
PBSmodelling-1.63/PBSmodelling/DESCRIPTION | 16 -
PBSmodelling-1.63/PBSmodelling/R/supportFuns.r | 139 ++++++++-----
PBSmodelling-1.63/PBSmodelling/R/zzz.r | 10
PBSmodelling-1.63/PBSmodelling/inst/PBStools/00ReadMe.txt | 4
PBSmodelling-1.63/PBSmodelling/inst/PBStools/RmakePDF.bat | 2
PBSmodelling-1.63/PBSmodelling/inst/PBStools/RmakePDF2.bat | 2
PBSmodelling-1.63/PBSmodelling/inst/doc |only
PBSmodelling-1.63/PBSmodelling/man/PBSmodelling.Rd | 4
PBSmodelling-1.63/PBSmodelling/man/createWin.Rd | 4
PBSmodelling-1.63/PBSmodelling/man/openFile.Rd | 35 +--
PBSmodelling-1.63/PBSmodelling/man/showHelp.Rd |only
PBSmodelling-1.63/PBSmodelling/man/testWidgets.Rd | 3
PBSmodelling-1.63/PBSmodelling/man/view.Rd | 18 +
PBSmodelling-1.63/PBSmodelling/man/writeList.Rd | 4
17 files changed, 145 insertions(+), 96 deletions(-)
Author: James Honaker
Diff between Amelia versions 1.1-23 dated 2007-03-25 and 1.1-29 dated 2008-05-30
Title: Amelia II: A Program for Missing Data
Description: Amelia II "multiply imputes" missing data in a single cross-section
(such as a survey), from a time series (like variables collected for
each year in a country), or from a time-series-cross-sectional data
set (such as collected by years for each of several countries).
Amelia II implements our bootstrapping-based algorithm that gives
essentially the same answers as the standard IP or EMis approaches,
is usually considerably faster than existing approaches and can
handle many more variables. Unlike Amelia I and other statistically
rigorous imputation software, it virtually never crashes (but please
let us know if you find to the contrary!). The program also
generalizes existing approaches by allowing for trends in time series
across observations within a cross-sectional unit, as well as priors
that allow experts to incorporate beliefs they have about the values
of missing cells in their data. Amelia II also includes useful
diagnostics of the fit of multiple imputation models. The program
works from the R command line or via a graphical user interface that
does not require users to know R.
Amelia-1.1-23/Amelia/inst/tklibs/tkTable |only
Amelia-1.1-23/Amelia/windows |only
Amelia-1.1-29/Amelia/DESCRIPTION | 9
Amelia-1.1-29/Amelia/R/amcheck.r | 70
Amelia-1.1-29/Amelia/R/ameliagui.r | 5
Amelia-1.1-29/Amelia/R/diag.r | 189 +
Amelia-1.1-29/Amelia/R/emb.r | 198 +
Amelia-1.1-29/Amelia/R/prep.r | 181 +
Amelia-1.1-29/Amelia/inst/doc/amelia.aux | 9
Amelia-1.1-29/Amelia/inst/doc/amelia.bbl | 6
Amelia-1.1-29/Amelia/inst/doc/amelia.blg | 62
Amelia-1.1-29/Amelia/inst/doc/amelia.log | 108
Amelia-1.1-29/Amelia/inst/doc/amelia.pdf | 3239 ++++++++++++++---------------
Amelia-1.1-29/Amelia/inst/doc/index.shtml | 2
Amelia-1.1-29/Amelia/man/am-internal.Rd | 4
Amelia-1.1-29/Amelia/man/amelia.Rd | 22
Amelia-1.1-29/Amelia/man/combine.output.Rd |only
17 files changed, 2257 insertions(+), 1847 deletions(-)